All mitsumi'1s Applications !! (updated daily)

[mitsumi1]

Last updated 8/2020
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 349.99 MB | Duration: 0h 58m

HSDPA & HSUPA Optimization

What you'll learn
The HSPA (HSDPA/HSUPA) Optimization Training course covers the following
Protocols and procedures for network optimization
In-depth study of the workings of HSDPA/HSUPA
Learn the call setup scenarios
Deployment scenarios
The Radio Resource management (RRM) Procedure in detail
Analysis of typical KPIs
Requirements
It is recommended the participant already Knowledge about UMTS Optimization.
Description
The HSPA (HSDPA/HSUPA) Optimization Training course covers the protocols and procedures for network optimization. You will undertake an in-depth study of the workings of HSDPA/HSUPA in a UMTS network and learn the following :HSUPA/HSDPA Channels - UE initiated Call Setups and tearDownUnderstanding the Radio Resource Management (RRM) parameters - Radio Bearer Setup, Radio Bearer Release, Radio Bearer Reconfiguration, Transport Channel Reconfiguration, Physical Channel ReconfigurationHSDPA code selection & power allocationHSUPA code selection & power allocation - in-depth refresher on HSUPA topics like new physical channels, HARQ and E-TFCI SelectionHSPA key enablersHSPA Scheduling Interval (TTI) -E-DCH and HS-DSCH coexist with Rel. 99 traffic on the same carrierHSPA Power control mechanism, Adaptive Modulation and Coding, Channel Quality Indicator (CQI), CQI compensationCode tree Optimization - NodeB Controlled dynamic allocation of codesHSDPA*channel Selection and Mobility management - parameters to reduce missed TTI's and ACK/NACK misdetections in UE and NodeB for HS-DSCHFast Packet Scheduling, E-DCH establishment, Dynamic E-RGCH AllocationThis course will also provide the critical parameters of uplink and downlink high speed and learns how to optimize them in order to reach the best throughput performance. The analysis of typical KPI's is presented in order to assess and evaluate the optimization performed on the system. this course is 3GPP Specific and Vendor independent.
Overview
Section 1: Overview
Lecture 1 Welcome
Lecture 2 Overview & Objectives
Lecture 3 HSDPA Channels
Lecture 4 HSUPA Channels
Lecture 5 Part 1: UE Initiated Call Set Up (PS)
Lecture 6 Part 2 : UE Initiated Call Set Up (PS)
Lecture 7 Part 1 : UE Initiated Call Tear Down (PS) (1/2)
Lecture 8 Part 2 : UE Initiated Call Tear Down (PS) (2/2)
Lecture 9 RRM & Parameters
Lecture 10 Enable 16 QAM Modulation
Section 2: Basics
Lecture 11 HSDPA Code Selection
Lecture 12 Number of High Speed - Shared Control Channels
Lecture 13 Iub HSDPA Bitrate
Lecture 14 Selection of HSUPA TTI
Lecture 15 Power Allocation in HSDPA
Lecture 16 Key enablers in HSPA Optimizaton
Lecture 17 Target of Optimization for HSPA and UMTS (Rel. 99)
Lecture 18 Performance optimization procedure
Lecture 19 Monitoring of HSPA Blocking
Lecture 20 HSDPA Power Allocation
Section 3: Intermediate
Lecture 21 HSDPA Power Control
Lecture 22 Measurement Power Offset
Lecture 23 CQI Reporting & Link Adaptation
Lecture 24 CQI Compensation
Lecture 25 HSDPA Code Resourse Allocation
Lecture 26 Code Tree Optimization
Lecture 27 NodeB Controlled Dynamic Allocation
Lecture 28 HSDPA Mobility Management
Lecture 29 HSDPA Channel Switching
Lecture 30 HSDPA Channel Type Selection & Switching
Section 4: Advanced
Lecture 31 Switching from DCH to HS - DSCH
Lecture 32 Switching from HS - DSCH to DCH
Lecture 33 Switching from HS - DSCH to FACH
Lecture 34 Fast Packet Scheduling
Lecture 35 Dynamic E-RGCH/E-HICH Code Allocation
Lecture 36 NodeB Scheduling
Lecture 37 E-DCH Establishment
Lecture 38 Channel Type Switching
RF Engineers, 3G Planners and optimizer, Drive Test Engineers, Anyone who wants to dig in HSPA optimization

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[mitsumi1]

Last updated 6/2018
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.06 GB | Duration: 3h 13m

You will Learn Ajax from scratch and able to Build these 3 projects (Country State, Search Suggestion, CRUD Application)

What you'll learn
Will be able to Develop Ajax Based Applications
Will be able to Work on Ajax Applications
Requirements
PHP Basics
HTML & CSS
Description
Hello and welcome to the course Learn Ajax with PHP
In this course you are going to learn Ajax from basics. After that you will learn creating these three Ajax projects. In basics sections you are going to send and receive request with Ajax using both POST and GET method, with form input field.*Ajax Project 1 : Ajax Country State City Select ListIn this project, you will learn about creating a select dropdown list for country, state & city. Data is fetched from the database based on the selection of country & state.Ajax Project 2 : Ajax Search SuggestionsIn this project, you will learn how to create Ajax Search Suggestions from scratch. In this project, I'm using the cities database table from project 1 which contains 48,000+ records.*Ajax Project 3 : Complete Ajax CRUD*ApplicationIn this project, you will learn about creating a Complete Ajax CRUD*Application to do all the CRUD*operations in the background.*You can use these techniques in any Ajax project.
You will learn a lot about Ajax in this course. Take Action & Join the Course.
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: AJAX Basics
Lecture 2 JS Basics
Lecture 3 Sending Data with AJAX
Lecture 4 Sending AJAX Request with POST Method
Lecture 5 Receiving response with AJAX
Lecture 6 Invitation to the Web Developers Mastermind Group + Extra Resources
Lecture 7 Ready States
Lecture 8 AJAX Example
Lecture 9 Using Console Log
Lecture 10 Using HTML/PHP to return Data
Lecture 11 Getting Array Data
Lecture 12 Adding Event Listener
Lecture 13 Using JSON Formatted Data
Lecture 14 Submitting AJAX Request with GET Method
Lecture 15 Using Input Field to Submit Ajax Request
Lecture 16 Using Input Field to Submit Ajax Request with Post Method
Lecture 17 Debugging POST Request
Section 3: AJAX Country State Select List
Lecture 18 Going through DB SQL files & Importing
Lecture 19 Creating AJAX Request to send Country Id
Lecture 20 Fetching Countries to display in Index Form
Lecture 21 Fetching States from Database with states.php file
Lecture 22 Displaying the States List Output
Lecture 23 Working on Cities Select List
Section 4: AJAX Search Suggestions
Lecture 24 Creating HTML form & search list with Styles
Lecture 25 Creating Ajax Request to send Get Response
Lecture 26 Working on PHP file to return search results
Lecture 27 Displaying results while searching
Section 5: AJAX CRUD Application
Lecture 28 Creating HTML code for crud applications
Lecture 29 Planning AJAX functions to build the functionality
Lecture 30 Getting Form data in AJAX function
Lecture 31 Inserting Record into Database with AJAX
Lecture 32 Updating Table Results After Insert Function
Lecture 33 Updating the Form with New Form
Lecture 34 Fixing the Insert Issue
Lecture 35 Working on Getting the Id from Edit button
Lecture 36 Working on Getting Edit Form
Lecture 37 Deleting the Record
Web Developers,Web Designers,Wants to Improve their Ajax Skills

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https://rapidgator.net/file/245605503ffccf4c6f02f92ff3bcbcb6/giria.Learn.Ajax.With.Php..3.Awesome.Projects..Basic.To.Advanced.part1.rar.html
https://rapidgator.net/file/1085037a2bd8c71b411a615d1f9040dd/giria.Learn.Ajax.With.Php..3.Awesome.Projects..Basic.To.Advanced.part2.rar.html
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[mitsumi1]

Last updated 1/2017
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.04 GB | Duration: 7h 56m

A step by step guide to data modeling concepts and best practices underpinning sound database design.

What you'll learn
conceptually plan a coherent data model to plan and design enterprise-quality databases.
differentiate between UML and IE data models.
create databases with SQL and Microsoft Access.
Requirements
some knowledge of programming principles is strongly recommended.
Description
Truly effective database design depends on having a coherent data model to work from. This course will help you learn the theory and process of creating data models suitable for everything from small business to enterprise and data center environments. Michael Blaha will teach you how to plan and construct data models, as well as build upon those models through an actual database. You will start by learning about the data modeling development process, then jump into basic and advanced data modeling. From there, Michael will teach you how to create a UML data model, including finding classes, adding attributes, and simplifying the model. This video tutorial also covers how to translate a UML data model into an IE data model, model quality, the different kinds of data models, and database design. You will also learn how to create an SQL server database, an MS-Access database, and develop frameworks. Finally, Michael will teach you about data modeling patterns and database reverse engineering. Once you have completed this computer based training course, you will be fully capable of creating your own data models.
Overview
Section 1: Getting Started
Lecture 1 Important - Download These First - Working Files
Lecture 2 About The Course
Lecture 3 What Is A Database?
Lecture 4 What Is A Data Model?
Lecture 5 How To Access Your Working Files
Section 2: Data Model Development Process
Lecture 6 Data Model Inputs And Outputs
Lecture 7 Data Model Notations
Lecture 8 UML Versus IE - Conceptual, Logical And Physical
Section 3: Basic Data Modeling
Lecture 9 Class And Attribute
Lecture 10 Operation
Lecture 11 Domain
Lecture 12 Association
Lecture 13 IE Entity Type And Relationship Type
Lecture 14 Association Name
Lecture 15 Association End
Lecture 16 Multiplicity - UML
Lecture 17 Multiplicity - IE
Lecture 18 Generalization - UML
Lecture 19 Generalization - IE
Lecture 20 Abstract Versus Concrete Superclass
Lecture 21 Practical Tips
Lecture 22 Self Assessment Test
Section 4: Advanced Data Modeling
Lecture 23 Identity
Lecture 24 Derived Data
Lecture 25 Current Versus Historical Data
Lecture 26 Association Class
Lecture 27 Ordered Association
Lecture 28 Qualified Association - UML
Lecture 29 Qualified Association - IE
Lecture 30 Large Taxonomies
Lecture 31 Package
Lecture 32 Abridged UML Metamodel
Lecture 33 Abridged IE Metamodel
Lecture 34 Modeling Pitfalls
Lecture 35 Practical Tips
Lecture 36 Self Assessment Test
Section 5: Create A UML Data Model
Lecture 37 Problem Statement
Lecture 38 Finding Classes
Lecture 39 Finding Associations - Part 1
Lecture 40 Finding Associations - Part 2
Lecture 41 Finding Generalizations
Lecture 42 Iterating And Refining The Model - Part 1
Lecture 43 Iterating And Refining The Model - Part 2
Lecture 44 Adding Attributes
Lecture 45 Cleaning Up Layout
Lecture 46 Simplifying The Model
Lecture 47 Evolving A Model - Part 1
Lecture 48 Evolving A Model - Part 2
Lecture 49 Enterprise Architect Techniques - Part 1
Lecture 50 Enterprise Architect Techniques - Part 2
Lecture 51 Enterprise Architect Techniques - Part 3
Section 6: Translate A UML Data Model Into An IE Data Model
Lecture 52 Creating Subject Areas
Lecture 53 Creating Entity Types
Lecture 54 Creating Domains
Lecture 55 Adding Attributes - Part 1
Lecture 56 Adding Attributes - Part 2
Lecture 57 Creating Relationship Types - Part 1
Lecture 58 Creating Relationship Types - Part 2
Lecture 59 Creating Relationship Types - Part 3
Lecture 60 Subtyping
Lecture 61 Adding Alternate Keys
Lecture 62 Cleaning Up The Layout
Lecture 63 ERwin Techniques - Part 1
Lecture 64 ERwin Techniques - Part 2
Section 7: Model Quality
Lecture 65 Model Quality
Lecture 66 Normal Forms
Lecture 67 Constraints
Lecture 68 Hillard Graph Complexity
Lecture 69 Hoberman Data Model Scorecard
Section 8: Kinds Of Data Models
Lecture 70 Operational Data Models
Lecture 71 Enterprise Data Models
Lecture 72 Data Warehouses - Part 1
Lecture 73 Data Warehouses - Part 2
Lecture 74 Data Warehouses - Part 3
Lecture 75 Master Data Models
Section 9: Database Design
Lecture 76 Schema Adjustments
Lecture 77 Attribute Details - Part 1
Lecture 78 Attribute Details - Part 2
Lecture 79 Attribute Details - Part 3
Lecture 80 Primary And Alternate Keys
Lecture 81 Indexes
Lecture 82 Referential Integrity - Part 1
Lecture 83 Referential Integrity - Part 2
Lecture 84 Check Constraints - Part 1
Lecture 85 Check Constraints - Part 2
Lecture 86 Views
Lecture 87 Other Aspects Of Design
Lecture 88 Self Assessment Test
Section 10: Create A SQL Server Database
Lecture 89 Creating A New Database
Lecture 90 Executing Schema
Lecture 91 Inspecting Metadata
Lecture 92 Loading Sample Data
Lecture 93 Querying Sample Data
Section 11: Create An MS-Access Database
Lecture 94 Generating An ERwin Schema
Lecture 95 Creating Tables
Lecture 96 Creating Indexes
Lecture 97 Creating Constraints And Default Values
Lecture 98 Defining Foreign Keys
Lecture 99 Creating Views
Lecture 100 Loading Sample Data
Lecture 101 Querying Sample Data
Section 12: Software Engineering
Lecture 102 Development Frameworks
Lecture 103 Agile Data Modelling
Lecture 104 Documenting A Model - Part 1
Lecture 105 Documenting A Model - Part 2
Lecture 106 Presenting A Model
Section 13: Data Modeling Patterns
Lecture 107 Overview
Lecture 108 Tree - Hardcoded
Lecture 109 Tree - Simple
Lecture 110 Tree - Structured
Lecture 111 Tree - Overlapping
Lecture 112 Tree - Changing Over Time
Lecture 113 Tree - Degenerate Node and Edge
Section 14: Database Reverse Engineering
Lecture 114 Motives
Lecture 115 Comparison With Forward Engineering
Lecture 116 Outputs
Lecture 117 Inputs
Lecture 118 Process
Lecture 119 Principles
Lecture 120 Example - Part 1
Lecture 121 Example - Part 2
Section 15: Conclusion
Lecture 122 Wrap-Up
developers and IT professionals who want a thorough understanding of formal data concepts and models as they relate to database design.

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[mitsumi1]

Last updated 6/2019
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.12 GB | Duration: 7h 18m

Get started with React Native development for iOS and Android & troubleshoot using tips, tricks & techniques.

What you'll learn
Build cross-platform native iOS and Android application development with React Native.
Work with HTTP requests and local storage with React Native.
Separation of concerns and useful techniques about it.
Tips for styling, using colors, fonts, metrics, and upgrading React Native version.
Overcome the most common bugs and pitfalls that plague React Native developers today.
Effectively evaluate the tradeoffs of using pure JavaScript libraries versus a native solution in building performant apps.
Implement build versions for test releases.
Set up error monitoring/reporting for your production application.
Requirements
JavaScript programming knowledge is assumed.
Description
React Native is a cross-platform application development framework built by engineers at Facebook which will help you to get out of the pain of maintaining a Swift and Java code base by learning once and applying it anywhere. Also, it bridges the gap between JS, Android, and iOS.With this hands-on course, you will begin with building React components for mobile devices where you'll learn to configure Firebase to store your data while coding your applications & and see the changes you've made without re-compiling your application again and again. Moving further, you will gain tips about reusable logic with Higher Order Components, tips for better upgrading, tips on styling and separation of concerns. Then you'll learn to overcome the most common bugs and pitfalls that plague React Native developers, solving complex navigation patterns with redux as well as troubleshooting complex operations in JavaScript while keeping your app UI running smoothly.Contents and OverviewThis training program includes 3 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, React Native in 7 Steps you'll be able to create visually stunning and high-performing applications. This course will get you started with React Native quickly by building React components for mobile devices. You'll learn to configure Firebase to store your data while coding your applications. You'll be able hot-reload applications and see the changes you've made without re-compiling your application again and again. By the end of this course, you'll be able to develop highly functional iOS and Android applications on your own and deploy them to both the App Store and the Play Store.The second course, React Native: Tips, Tricks, and Techniques help to provide you with valuable tips and tricks to help make your development process easier, and less tedious. You will find tips about reusable logic with Higher Order Components, tips for better upgrading, tips on styling and separation of concerns. You will be getting some useful & cool tips on using tools for faster React Native development, such as reactotron, react-native-debugger and making your own logger for debugging and analytics. Finally, some tips and useful scripts you can use, and a nice way to use feature flags for your application. By the end of this course, you would have added useful skills to your arsenal, a plethora of valuable tips and tricks to make your development process with React Native more effective and efficient.The third course, Troubleshooting and Supercharging React Native you'll learn how to find memory leaks and cease unwanted applications in the background. You'll reduce the CPU usage of your application. You'll optimize APIs and third-party libraries to minimize the size of your application. Most developers complain about performance issues while implementing navigation components, so you'll learn how to solve them once and for all. Finally, you'll minimize your application's launch time and improve its overall performance.At the end of the course, you'll supercharge your productivity in React Native, by spending less time debugging and more time coding.About the Authors:Christopher Reyes is a software engineer in Southern California with a Bachelor of Science in Computer Information Systems with a specialization in software development. He has multiple years of experience working across multiple technologies including proprietary programming languages, and full stack JavaScript. He has experience on the back end with Node.js developing Restful APIS with typescript, and exposing data through GraphQL and Apollo while utilizing React on the front end. Chris has utilized to React Native to develop versatile mobile applications that can be utilized across multiple devices and platforms. Chris has mostly worked in the financial sector and has also freelanced for a telematics company. Chris is passionate about test-driven development and writing clean code.Pavlos Vinieratos is an experienced iOS and macOS Developer using React Native, Swift, Objective-C. Enjoys using Clojure and Ruby. He enjoys working with React Native and works with it on a regular basis. As an experienced React Native developer, Pavlos Vinieratos brings hands-on working experience to this course that helps viewers to get effective and practical guidance from a developers point of view.Atul Sandilya Tiwari is a software developer. He has 5 years of experience building mobile applications for companies ranging from startups to fortune 500 companies. He has been working in both React native and Android since the early days of their releases.
Overview
Section 1: React Native in 7 Steps
Lecture 1 The Course Overview
Lecture 2 Setup Development Environment
Lecture 3 Introduction to the React Native Ecosystem
Lecture 4 Set Up Firebase Account
Lecture 5 Set Up a Database in Firebase
Lecture 6 Hello React Native Project
Lecture 7 Show RN Tester Project Review
Lecture 8 Creating User Inputs
Lecture 9 Introduction to FlatList
Lecture 10 Handling Touches
Lecture 11 React Native Platforms
Lecture 12 Introduction to Flexbox
Lecture 13 Flexbox Deep Dive
Lecture 14 Overview of NativeBase
Lecture 15 Easy Grid of NativeBase
Lecture 16 Custom Theme with NativeBase
Lecture 17 Creating Reusable Components
Lecture 18 Displaying and Resizing an Image
Lecture 19 Setting Up a Form
Lecture 20 Adding Form Validation
Lecture 21 Composing Screens from Reusable Components
Lecture 22 Understanding React Navigation
Lecture 23 Stack Navigator
Lecture 24 Navigation Practices
Lecture 25 Tab Navigator
Lecture 26 Drawer Navigator
Lecture 27 Configure Firebase
Lecture 28 Creating Data in Firebase
Lecture 29 Reading Data in Firebase
Lecture 30 Updating Data in Firebase
Lecture 31 Deleting Data from Firebase
Lecture 32 Deploy Applications
Lecture 33 Build APK for Android Deployment
Lecture 34 iOS Deployment
Section 2: React Native: Tips, Tricks, and Techniques
Lecture 35 Course Overview
Lecture 36 What Is a 'Smart' and 'Dumb' Component?
Lecture 37 Practical Usage of 'Smart'/'Dumb' Component
Lecture 38 When to Use a Class, a Pure or a Functional Component?
Lecture 39 Introduction to Higher Order Components (HOC)
Lecture 40 Practical Usage of Higher Order Components
Lecture 41 Introduction to Render Props
Lecture 42 When to Use HOCs and Render Props?
Lecture 43 Practical Usage of Redux (Separation of Concerns)
Lecture 44 Debugging with react-native-debugger
Lecture 45 Debugging and Logging with Reactotron
Lecture 46 Storybook for Quick and Easy UI Development
Lecture 47 Own Logger for Debugging and Analytics
Lecture 48 Why and How to Use Unified Resources?
Lecture 49 Metrics
Lecture 50 Colors
Lecture 51 Fonts
Lecture 52 Styles
Lecture 53 Useful Scripts for Faster Development
Lecture 54 You Never Need to Import from `..` Anymore
Lecture 55 Using rn-diff-purge to Upgrade React Native Version
Lecture 56 Feature Toggles
Lecture 57 nvm and .config
Section 3: Troubleshooting and Supercharging React Native
Lecture 58 The Course Overview
Lecture 59 Setting Up Your Development Environment
Lecture 60 Configuring a Linter
Lecture 61 Common Pitfalls
Lecture 62 Common Issues and How to Fix Them
Lecture 63 Debugging Network Requests
Lecture 64 Choosing the Right Navigation Solution
Lecture 65 Solving Complex Navigation Patterns with Redux and React Navigation
Lecture 66 Common Issues Installing
Lecture 67 An Introduction to the React Native Dev Tools/Dev Menu
Lecture 68 React Performance Considerations That Will Speed Up Your App
Lecture 69 How to Handle Complex Operations in JavaScript, Lists, Network Requests?
Lecture 70 Catching Errors in Production
Lecture 71 CodePush to Rush Out Critical Bug Fixes
This course is for app developers looking to make native iOS and Android apps with React Native, mobile developers, JavaScript developers who have been building native mobile applications with React Native and want to spend less time debugging and more time coding will find this course useful.

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[mitsumi1]

Last updated 8/2020
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.54 GB | Duration: 3h 14m

LTE Air Interface in Depth

What you'll learn
In this course, our focus will be on
LTE requirements & Introduction to LTE Air Interface
EPS Network Architecture
EPS Network Identities
UE stares
Handovers In LTE
PCC Services
OFDMA Principles, key parameters & Challenges
SCFDMA, and comparison with OFDMA
Resource Grid in LTE,
LTE Channels and their mapping on the resource Grid
LTE measurements- CQI etc
Cell search Procedure
Cell Selection & PLMN selection
Random Access procedure
LTE Attach/ Detach procedure
LTE RRM - Admission Control, Scheduler, Power Control

Requirements
LTE Fundamentals course is recommended

Description
The LTE Air Interface Course will equip the participant with a complete understanding of the radio interface in Long Term Evolution (LTE) technology. General Overview is presented with the Key Advantages and Disadvantages. This course will cover the 3GPP specifications work, with LTE Requirements and enablers. The Multiple Access techniques like OFDMA/ SCFDMA are discussed with their key parameters, Advantages & disadvantages. Then FDD/TDD Duplexing Scheme with reference to the frame structure will be shown. Now the focus will be also on the physical channels structure, their processing in both FDD and TDD mode of LTE. The mapping of channels on the resource grid with the functionality of each channel is discussed in detail with respect to the call flow. We will see the detailed analysis of the structure and features of the physical layer, layer 2 and layer 3 protocols, the radio link operation. And then course also presents procedures of Radio Resource Management (RRM) power control, Admission Control, link adaptation, Uplink/Downlink Scheduler, and HARQ related to downlink and uplink scheduling. The concept of MIMO in LTE, idle mode behavior, and handover process are also discussed. The course is based on the 3GPP Technical Specifications and hence is equipment vendor-independent.

Overview
Section 1: LTE Introduction

Lecture 1 Course Preview

Lecture 2 Overview & Objectives

Lecture 3 Customer and Operator Expectations

Lecture 4 3GPP Specification Work

Lecture 5 Technological Comparison

Lecture 6 LTE Requirements and Introduction of LTE Architecture

Lecture 7 Introduction to Air Interface

Lecture 8 Key Features of LTE

Section 2: EPS Architecture

Lecture 9 Overview & Objectives

Lecture 10 Packet Core Architecture Evolution

Lecture 11 LTE EPS Network Architecture in Detail

Lecture 12 Roaming Scenarios in LTE

Lecture 13 EPS Inter-working

Section 3: Traffic & Mobility Management

Lecture 14 Overview & Objectives

Lecture 15 EPS Network Identifiers

Lecture 16 Tracking Area Update Concept

Lecture 17 UE states in LTE

Lecture 18 EPS bearer

Lecture 19 Quality of Service (QoS) understanding

Lecture 20 Handovers in LTE

Lecture 21 Differences in E-UTRAN and UTRAN Mobility

Lecture 22 Policy and charging (PCC) services

Section 4: Air Interface (OFDMA & SCFDMA)

Lecture 23 Overview & Objectives

Lecture 24 Duplexing and Multiple Access

Lecture 25 OFDMA Background

Lecture 26 OFDMA Principle

Lecture 27 Concept of cyclic prefix (CP)

Lecture 28 OFDMA key parameters

Lecture 29 OFDMA Challenges

Lecture 30 SCFDMA

Lecture 31 OFDMA vs SCFDMA: An example

Lecture 32 LTE Resource grid

Lecture 33 Duplexing Techniques and FDD Frame Structure

Lecture 34 LTE TDD frame Structure

Section 5: MIMO Basic

Lecture 35 Overview & Objectives

Lecture 36 MIMO Basics

Section 6: Protocol, Interfaces and Channels

Lecture 37 Overview & Objectives

Lecture 38 LTE Interfaces

Lecture 39 Interfaces & Protocols in EPS Network-Control Plane

Lecture 40 UE's Direct Communication with MME

Lecture 41 Radio Interface

Lecture 42 Interfaces & Protocols in EPS Network-Control Plane - Part 1

Lecture 43 Interfaces & Protocols in EPS Network-Control Plane - Part 2

Lecture 44 Interfaces & Protocols in EPS Network - User Plane

Lecture 45 X2 Interfaces & its Protocols in Control & User Planes

Lecture 46 Details of Protocols

Lecture 47 LTE Channel Architecture

Lecture 48 LTE Downlink Channels

Lecture 49 LTE Downlink Logical Channels

Lecture 50 LTE Downlink Transport Channels

Lecture 51 LTE Downlink Physical Channels

Lecture 52 LTE Uplink Channels

Lecture 53 LTE Uplink Logical Channels

Lecture 54 LTE Uplink Transport Channels

Lecture 55 LTE Uplink Physical Channels

Lecture 56 Additional Physical Channels Types

Section 7: Radio Procedure

Lecture 57 Overview & Objectives

Lecture 58 LTE Measurements

Lecture 59 CQI Measurements

Lecture 60 Handover Measurements

Lecture 61 HO Events

Lecture 62 Timing Advance

Lecture 63 Cell Search

Lecture 64 Network & Cell Selection

Lecture 65 PLMN Selection

Lecture 66 Cell Selection & Reselection

Lecture 67 Random Access - Initial Access

Lecture 68 Random Access Procedure

Lecture 69 Paging

Lecture 70 Power Control

Section 8: Radio Resource Management

Lecture 71 Overview & Objectives

Lecture 72 Relationship Between Scheduling, Link Adaptation and Hybrid ARQ

Lecture 73 Scheduling

Lecture 74 Scheduling and Multiuser Diversity

Lecture 75 A Typical Single - Cell Cellular Radio System

Lecture 76 Scheduling Schemes

Lecture 77 Link Adaptation

Lecture 78 CQI Table

Lecture 79 Link Adaptation and Spectral Efficiency Maximization

Lecture 80 HARQ Procedure - Part 1

Lecture 81 HARQ Procedure - Part 2

RF engineers, Drive Test Engineers, Any one who wants to learn about LTE Air Interface.

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[mitsumi1]

Last updated 9/2021
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.34 GB | Duration: 2h 18m

LTE Introduction in depth

What you'll learn
This Course is designed for Telecom Professional to have an overview of
Why LTE ?
Key Principles in 4G (LTE), Benefits and Future ahead.
LTE Network Architecture in detail
LTE Air Interface in brief explaining the terminology and Basic Structure of PRB
LTE DL and UL Channels
LTE QCI, EPS Bearer - Dedicated and Default

Requirements
Anyone interested to learn 4G can enroll in this course, However prior knowledge of telecom is recommended.

Description
This LTE Fundamental course trains an individual about the basics and important concepts of LTE Technology. The training will start with the very basics of LTE technology so that any individual can understand the need for a 4G - operator as well as a customer point of view. Then we will talk about the technicalities, key principles (Throughput, Latency, Convergence, TTI, MIMO, Multiple Access, Modulation, and Coding Scheme (MCS), etc). We will also look at the evolution of telecom Generations (G's) from 1G to 4G and the future LTE-A, COMP, HetNet, and others. After covering the basics we willGradually move towards the in-depth discussion about the LTE Network Architecture (EUTRAN and CORE) covering the functionality of EUTRAN, EPC (MME, SAE GW, PCRF, HSS), interfaces, Protocol Stack. we will also cover the Interworking of 4G Architecture with 3G / 2G (legacy 3GPP) and non-3GPP trusted and non trusted networks(WiFi/ WiMAX), also roaming scenarios will be covered.Further discussion will be on LTE QCI, EPS Bearers (Default, Dedicated), LTE Air Interface concepts - OFDMA, SC-FDMA, LTE FDD vs TDD, Frame Format, and Multiple Antenna Techniques (MIMO) covering Spatial multiplexing (SM) and transmit diversity (TM). Finally, we will cover the LTE Uplink and Downlink Channels and LTE Initial Access procedures.

Overview
Section 1: LTE Introduction

Lecture 1 Course Preview

Lecture 2 Overview & Objectives

Lecture 3 User Expectation

Lecture 4 Operator Expectation

Lecture 5 Mobile Broadband Evolution

Lecture 6 Technology Comparison

Lecture 7 3G Vs 4G Technology Comparison

Lecture 8 Requirements of LTE

Lecture 9 LTE Vs UMTS Network Arhitecture

Lecture 10 LTE Network Architecture

Lecture 11 OFDM

Lecture 12 Overview of LTE Air Interface

Lecture 13 Key Features of LTE

Lecture 14 FDD and TDD

Lecture 15 FDD and TDD Bands

Lecture 16 Terminals, Modules and Fixed Wireless Terminals

Lecture 17 LTE UE Categories

Lecture 18 LTE Specification Work - Part 1

Lecture 19 LTE Specification Work - Part 2

Lecture 20 LTE Standard Specification

Section 2: EPS Architecture

Lecture 21 Overview & Objectives

Lecture 22 SAE - Targets

Lecture 23 Architecture Evolution

Lecture 24 EPS Network Architecture

Lecture 25 Functionality of e-NodeB & UE

Lecture 26 Functionality of MME

Lecture 27 Functionality of S-GW

Lecture 28 Functionality of P-GW

Lecture 29 Functionality of PCRF

Lecture 30 Functionality of HSS

Lecture 31 Roaming in Basic System Architecture Configuration

Lecture 32 EPS Roaming Architecture

Lecture 33 EPS Inter-Working With 2G/3G Networks

Lecture 34 3GPP and Non-3GPP Inter-Working

Lecture 35 EPS Inter-Working With Non-3GPP Access Technologies

Lecture 36 EPS Inter-Working With CDMA Networks

Section 3: Traffic & Mobility Management

Lecture 37 Overview & Objectives

Lecture 38 EPS Network Identifiers

Lecture 39 Tracking Area Update Concept

Lecture 40 EPS Mobility Management (EMM) States

Lecture 41 EPS Connection Management (ECM) State

Lecture 42 RRC States in E-UTRAN

Lecture 43 EPS Bearer Service Architecture

Lecture 44 EPS Bearer Services : Default Bearer

Lecture 45 EPS Bearer Services : Dedicated Bearer

Lecture 46 SAE Bearer QoS Awareness

Lecture 47 SAE Bearer QoS Attributes

Lecture 48 QoS Class Identifier (QCI) Characteristic

Lecture 49 LTE / SAE Handover

Lecture 50 LTE / SAE Handover Principles

Lecture 51 Handover Preparation

Lecture 52 Handover Execution

Lecture 53 Handover Completion

Lecture 54 Inter-System Handovers

Lecture 55 Differences in E-UTRAN and UTRAN Mobility

Lecture 56 Policy and Charging Control (PCC)

Lecture 57 Basic Policy and Charging Control (PCC)

Lecture 58 PCC in Roaming with PMIP : Home Routed Model

Lecture 59 PCC in Roaming : Local Breakout Model

Section 4: Air Interface (OFDMA & SCFDMA)

Lecture 60 Overview & Objectives

Lecture 61 Duplexing and Multiple Access

Lecture 62 LTE Multiple Access Background : Single Transmitter

Lecture 63 LTE Multiple Access Background : FDMA Principle

Lecture 64 LTE Multiple Access Background : Multi-Carrier Principle

Lecture 65 OFDM Principle

Lecture 66 OFDM : Nutshell

Lecture 67 OFDM : Frequency - Time Representation

Lecture 68 OFDM and FFT / IFFT

Lecture 69 Motivation for OFDMA in LTE

Lecture 70 Solution to ISI : Cyclic Prefix

Lecture 71 Cyclic Prefix : Normal & Extended

Lecture 72 OFDM Transmitter and Receiver

Lecture 73 OFDM Key Parameters - Part 1

Lecture 74 OFDM Key Parameters - Part 2

Lecture 75 OFDM Key Parameters - Fast Fourier Transform Size (NFFT)

Lecture 76 OFDM Key Parameters for FDD and TDD Modes

Lecture 77 OFDM Key Parameters - Sampling Rate (FS)

Lecture 78 SC - FDMA

Lecture 79 OFDM Vs Sc - FDMA : QPSK Example

Lecture 80 SC - FDMA : Multiplexing

Lecture 81 SC - FDMA : Transmitter and Receiver

Lecture 82 LTE / UTRAN : Bandwidth Distribution

Lecture 83 LTE Resource Grid, Resource Block, Resource Element

Lecture 84 The Usage of Resource Element (RE)

Lecture 85 LTE Duplexing - FDD / TDD

Lecture 86 LTE Frame Structure : Generic

Lecture 87 Radio Frame Type 1 - FDD

Lecture 88 Radio Frame Type 2 - TDD

Lecture 89 Fields in Special Subframe : DwPTS, GP and UpTS

Lecture 90 TDD Radio Frame Configurations (DL/UL)

Lecture 91 Special Subframe Configurations (No. of OFDM Symbols)

Lecture 92 Different Methods for OFDM Multiple Access

Lecture 93 OFDMA Challenges

Section 5: MIMO

Lecture 94 Overview & Objectives

Lecture 95 Aspirations

Lecture 96 Conventional (Single) & New (Multiple) Antenna Configurations

Lecture 97 MIMO System Model (Principle)

Lecture 98 Multiple Antenna Arrangements

Lecture 99 MIMO Design Criterion

Lecture 100 Physical Channel Processing, Example of MIMO Usage & Summary

Beginners in 4G.,Any one who wants to learn about 4g Basics.

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[mitsumi1]

Last updated 8/2020
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 631.63 MB | Duration: 1h 27m

LTE Signalling in Depth and understanding future technology in mind.

What you'll learn
This Course describe about LTE Signalling Procedure
LTE Network Architecture in brief
LTE Interfaces
LTE Protocol Stack
RRC Protocol & Signalling messages
NAS Protocol and messages
S1AP/ X2AP signalling Procedure
User plane and Control plane traffic
Call flow - LTE Attach/ Detach/ TAU/ paging/ Service Request
CSFB
Requirements
It is recommended that the Participant has already some knowledge of LTE Fundamentals & LTE air Interface
Description
In this course, the participants will understand LTE Signaling in detail. There are a considerable number of protocols and signalling messages being passed during system operation, between Uu and eUTRAN as well as between eUTRAN and EPC.Participants will learn about the L3 protocols, radio interface, S1-interface, and L1 signaling aspects. Other topics such as scheduling and reliability (ARQ and HARQ) are also covered.We will cover the LTE protocols which describes the overall protocol structure before focusing on specific protocols. The protocols examined include LTE (ENODEB) to UE protocols including packet Data Convergence Protocol (PDCP), Radio Resource Control (RRC), Radio Link Control (RLC) and Medium Access Control (MAC), the inter-eNodeB protocol X2, the S1 protocol between the E-UTRAN and the evolved packet core (MME) and the evolved GTP for LTE (S-GW). Finally We will Look at the S1AP/X2AP signaling, User plane and Control*plane Traffic. the LTE Procedure - Attach/ Detach, TAU etc. Circuit Switched fallback (CSFB) with Call flow and signaling messagesThis course are fully recommended to understand all concept and theory and it can sure provide excellent concept to understand 5G signaling in future aspirants. So as trainer strongly recommended to go through this course for future technology understanding prospectus.
Overview
Section 1: Basic
Lecture 1 Course Preview
Lecture 2 Overview & Objectives
Lecture 3 EPC Network Architecture
Lecture 4 LTE Channel Architecture
Lecture 5 Physical Channels
Lecture 6 Transport Channels
Lecture 7 Logical Channels
Lecture 8 Logical to Physical to Transport Channel Downlink Mapping
Lecture 9 Logical to Physical to Transport Channel Uplink Mapping
Lecture 10 TCP-IP Protocol Layer - Part 1
Lecture 11 TCP-IP Protocol Layer - Part 2
Lecture 12 MAC Layer
Lecture 13 Physical Layer
Section 2: Intermediate
Lecture 14 EPC Interfaces
Lecture 15 S1 - User Plane Protocol Stack
Lecture 16 NAS Signalling
Lecture 17 S5 - S8 Interface
Lecture 18 S11 Interface
Lecture 19 S10 Interface
Lecture 20 S6a Interface
Lecture 21 X2 Interface
Lecture 22 X2 User Plane Protocol
Lecture 23 Gx, SGi and Rx+ Interfaces
Lecture 24 IDs
Section 3: Advance
Lecture 25 UE States
Lecture 26 Network Attach
Lecture 27 Cell Selection
Lecture 28 UE Triggered Detach
Lecture 29 Cell Reselection
Lecture 30 S1 Handover
Lecture 31 Inter-RAT/Technology Mobility
Lecture 32 Preparation Phase
Lecture 33 E-UTRAN to GERAN A/Gb Inter RAT Handover
Lecture 34 Circuit Switch Fallback Overview
Lecture 35 CS Fallback Attach Procedure
Telecom Professional/RF Engineers/RAN Engineers and any one who wants to understand the LTE Signaling and Call Flow

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[mitsumi1]

Last updated 4/2019
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.11 GB | Duration: 8h 48m

Become a data visualizations expert with Python and Matplotlib 3 by learning effective data visualization recipes.

What you'll learn
Use Matplotlib for data visualization with the Python programming language.
Construct different types of plot such as lines and scatters, bar plots, and histograms.
Use Matplotlib 3's animation and interactive capabilities to spice up your data visualizations
Use Matplotlib 3's animation and interactive capabilities to spice up your data visualizations
Visualize data using PyPlot; plot functions, create complex subplots and troubleshoot issues.
Build interactive plots with Matplotlib 3. Understand and implement event handling and GUI widgets and learn how to turn interactive plots into videos.
Build Matplotlib 3D graphs functionality to visualize data with multiple variables and dimensions.
Draw on plots, ranging from inserting lines, adding text, and drawing different shapes and annotations.
Draw special-purpose advanced plots such as non-Cartesian plots, vector fields, violin graphs, and more.
Requirements
Prior Python programming experience is a requirement, whereas experience with Data Analysis and Machine Learning analysis will be helpful.
Description
Matplotlib is a multi-platform data visualization tool for creating advanced-level and interactive data visualizations that showcase insights from your datasets. One of Matplotlib's most important features is its ability to work well with many operating systems and graphics backends. Matplotlib helps in customizing your data plots, building 3D plots and tackling real-world data with ease. Python's elegant syntax and dynamic typing, along with its interpreted nature, make it a perfect language for data visualization. If you're a Python Developer or a data scientist looking to create advanced-level Data Visualizations that showcase insights from your datasets with Matplotlib 3, then this Course is perfect for you!This comprehensive 4-in-1 course follows a step-by-step approach to entering the world of data Visualization with Python and Matplotlib 3. To begin with, you'll use various aspects of data visualization with Matplotlib to construct different types of plot such as lines and scatters, bar plots, and histograms. You'll use Matplotlib 3's animation and interactive capabilities to spice up your data visualizations with a real-world dataset of stocks. Finally, you'll master Matplotlib by exploring the advanced features and making complex data visualization concepts seem very easy.By the end of the course, you'll become a data visualizations expert with Matplotlib 3 by learning effective and practical data visualization recipes.Contents and OverviewThis training program includes 4 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, Matplotlib for Python Developers, covers understanding the basic fundamentals of plotting and data visualization using Matplotlib. In this course, we hit the ground running and quickly learn how to make beautiful, illuminating figures with Matplotlib and a handful of other Python tools. We understand data dimensionality and set up an environment by beginning with basic plots. We enter into the exciting world of data visualization and plotting. You'll work with line and scatter plots and construct bar plots and histograms. You'll also explore images, contours, and histograms in depth. Plot scaffolding is a very interesting topic wherein you'll be taken through axes and figures to help you design excellent plots. You'll learn how to control axes and ticks, and change fonts and colors. You'll work on backends and transformations. Then lastly you'll explore the most important companions for Matplotlib, Pandas, and Jupyter used widely for data manipulation, analysis, and visualization. By the end of this course, you'll be able to construct effective and beautiful data plots using the Matplotlib library for the Python programming language.The second course, Developing Advanced Plots with Matplotlib, covers exploring advanced plots and functions with Matplotlib. In this video course, you'll get hands-on with customizing your data plots with the help of Matplotlib. You'll start with customizing plots, making a handful of special-purpose plots, and building 3D plots. You'll explore non-trivial layouts, Pylab customization, and more on tile configuration. You'll be able to add text, put lines in plots, and also handle polygons, shapes, and annotations. Non-Cartesian and vector plots are exciting to construct, and you'll explore them further in this tutorial. You'll delve into niche plots and visualizing ordinal and tabular data. In this video, you'll be exploring 3D plotting, one of the best features when it comes to 3D data visualization, along with Jupyter Notebook, widgets, and creating movies for enhanced data representation. Geospatial plotting will be also be explored. Finally, you'll learn how to create interactive plots with the help of Jupyter. By the end of this video tutorial, you'll be able to construct advanced plots with additional customization techniques and 3D plot types.The third course, Data Visualization Recipes with Python and Matplotlib 3, covers practical recipes for creating interactive data visualizations easily with Matplotlib 3. This course cuts down all the complexities and unnecessary details. It boils it down to the things you really need to get those visualizations going quickly and efficiently. The course gives you practical recipes to do what exactly needs to be done in the minimum amount of time. All the examples are based on real-world data with practical visualization solutions. By the end of the course, you'll be able to get the most out of data visualizations where Matplotlib 3 is concerned.The fourth course, Mastering Matplotlib 3, covers mastering the power of data visualization with Matplotlib 3. This course will help you delve into the latest version of Matplotlib, 3, in a step-by-step and engaging manner. Through this course, you will master advanced Matplotlib concepts and will be able to tackle any Data Visualization project with ease and with increasing complexity. By the end of the course, you will have honed your expertise and mastered data visualization using the full potential of Matplotlib 3.By the end of the course, you'll become a data visualizations expert with Matplotlib 3 by learning effective and practical data visualization recipes.About the AuthorsBenjamin Keller is currently a Ph.D. candidate at McMaster University and achieved his BSc in Physics with a minor in Computer Science from the University of Calgary in 2011. His current research involves numerical modeling of galaxy evolution over cosmological timescales. As an undergraduate at the U of C, he worked on stacking radio polarization to examine faint extragalactic sources. He also worked in the POSSUM Working Group 2 to determine the requirements for stacking applications for the Australian SKA Pathfinder (ASKAP) radio telescope. His current research is focused on developing and improving subgrid models used in simulations of galaxy formation and evolution. He is particularly interested in questions involving stellar feedback (supernovae, stellar winds, and so on) and its impact on galaxies and their surrounding intergalactic medium.Harish Garg is a co-founder and software professional with more than 18 years of software industry experience. He currently runs a software consultancy that specializes in the data analytics and data science domain. He has been programming in Python for more than 12 years and has been using Python for data analytics and data science for 6 years. He has developed numerous courses in the data science domain and has also published a book involving data science with Python, including Matplotlib.Amaya Nayak is a Data Science Domain consultant with BignumWorks Software LLP. She has more than 10 years' experience in the fields of Python programming, data analysis, and visualization using Python and JavaScript, using tools such as D3.js, Matplotlib, ggplot, and more. With over 5 years' experience as a data scientist, she works on various data analysis tasks such as statistical data, data munging, data extraction, data visualization, and data validation.
Overview
Section 1: Matplotlib for Python Developers
Lecture 1 The Course Overview
Lecture 2 Understanding Data, Dimensionality, and Why We Plot
Lecture 3 Setting Up Your Environment
Lecture 4 Beginning with the Most Basic Plots
Lecture 5 Differentiating Line and Scatter Plots
Lecture 6 Constructing Bar Plots and Histograms
Lecture 7 Exploring Images and Contours
Lecture 8 Working on Plots with Uncertainties
Lecture 9 Looking at Other Useful Plot Types
Lecture 10 Making Multiple Panel Plots
Lecture 11 Using Color Bars and Legends
Lecture 12 Workingwith the Components of a Matplotlib Plot
Lecture 13 Figure and Axes - How Do They Work?
Lecture 14 Working with Transformations
Lecture 15 Controlling Axes and Ticks
Lecture 16 Ticker Formatting
Lecture 17 Working on Back Ends
Lecture 18 The Jupyter Notebook
Lecture 19 Using Pandas to Manipulate Tabular Data
Lecture 20 Slicing and Dicing Pandas Data
Lecture 21 Pandas Built-in Plotting
Section 2: Developing Advanced Plots with Matplotlib
Lecture 22 The Course Overview
Lecture 23 Customizing Pylab in Style
Lecture 24 Color Deep Dive
Lecture 25 Working on Non-Trivial Layouts
Lecture 26 The Matplotlib Configuration Files
Lecture 27 Putting Lines in Place
Lecture 28 Adding Text on Your Plots
Lecture 29 Playing with Polygons and Shapes
Lecture 30 Versatile Annotating
Lecture 31 Non-Cartesian Plots
Lecture 32 Plotting Vector Fields
Lecture 33 Statistics with Boxes and Violins
Lecture 34 Visualizing Ordinal and Tabular Data
Lecture 35 Plotting with 3D Axes
Lecture 36 Looking at Various 3D Plot Types
Lecture 37 The Basemap Methods
Lecture 38 Plotting on Map Projections
Lecture 39 Adding Geography
Lecture 40 Interactive Plots in the Jupyter Notebook
Lecture 41 Event Handling with Plot Callbacks
Lecture 42 GUI Neutral Widgets
Lecture 43 Making Movies
Section 3: Data Visualization Recipes with Python and Matplotlib 3
Lecture 44 Course Overview
Lecture 45 Getting Data into Matplotlib
Lecture 46 Drawing Scatter Plots
Lecture 47 Creating Line Plots
Lecture 48 Visualizing Data with Bar Charts
Lecture 49 Drawing Subplots
Lecture 50 Creating Histograms
Lecture 51 Building Heatmaps
Lecture 52 Plotting Data on Box Plots
Lecture 53 Drawing Pie Charts
Lecture 54 Customizing Labels, Titles, and Legends
Lecture 55 Adding Grids and Customizing Ticks
Lecture 56 Using Matplotlib Styles
Lecture 57 Creating Custom Styles
Lecture 58 Plot Annotation
Lecture 59 Build Plots from the Ground-Up Using Plot Scaffolding
Lecture 60 Building Custom Plots Using Figures
Lecture 61 Customizing Plot Axes
Lecture 62 Building 3D Graphs Using Wireframe
Lecture 63 Creating 3D Scatter Plots
Lecture 64 Drawing 3D Bar Charts
Lecture 65 Customizing Wireframes
Lecture 66 Drawing Animated Graphs
Lecture 67 Building an Animated Histogram
Lecture 68 Creating Animated subplots
Lecture 69 Adding Interactivity to Plots
Lecture 70 Creating Visualizations that Update Interactively with Data
Lecture 71 Change the Plot Sizes
Lecture 72 Save Plot Image to a File
Lecture 73 Create Legend Outside the Plot
Lecture 74 Display Plots Inline in a Notebook
Lecture 75 Clear a Plot
Lecture 76 Change Font Sizes of Plot Elements
Lecture 77 Troubleshoot Value Errors
Section 4: Mastering Matplotlib 3
Lecture 78 The Course Overview
Lecture 79 Creating Plots Using the Plot Function
Lecture 80 Creating Subplots
Lecture 81 Subplot Parameters
Lecture 82 Learn How Pyplot Works
Lecture 83 Troubleshooting Pyplot
Lecture 84 Creating Interactive Plots
Lecture 85 Event Handling with Plot Callbacks
Lecture 86 GUI Neutral Widgets
Lecture 87 Converting Interactive Plots into Videos
Lecture 88 Customizing Pylab in Style
Lecture 89 Color Deep Dive
Lecture 90 Working on Non-Trivial Layouts
Lecture 91 The Matplotlib Configuration Files
Lecture 92 Stylesheets
Lecture 93 Putting Lines in Place
Lecture 94 Adding Text to Your Plots
Lecture 95 Playing with Polygons and Shapes
Lecture 96 Versatile Annotating
Lecture 97 Non-Cartesian Plots
Lecture 98 Plotting Vector Fields
Lecture 99 Statistics with Boxes and Violins
Lecture 100 Visualizing Ordinal and Tabular Data
Lecture 101 Plotting with 3D Axes
Lecture 102 Looking at Various 3D Plot Types
Lecture 103 The Basemap Methods
Lecture 104 Plotting on Map Projections
Lecture 105 Adding Geography
Lecture 106 Visualizing Categorical Data
Lecture 107 Plotting Distributions
Lecture 108 Visualizing Data on Multi-Plot Grids
Lecture 109 Customizing Plots
This Course is perfect for:,Python Developers, Data Scientists, and Data Analysts who are familiar with Matplotlib and want to master their skill on an advanced level to get better in creating effective and interactive data visualizations.

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[mitsumi1]

Last updated 7/2020
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.86 GB | Duration: 5h 6m

Learn Routing, Content Negotiation, Model Binding, Pipeline, Filters, Versioning, Dependency Injection, Hosting and more

What you'll learn
Introduction to SOA and REST
Routing - Convention and Attribute Routing
Content Negotiation and Media Type Formatters
Model Binding and Model Validation
Database CRUD Operations
Testing Web API Using Postman
Web API Pipeline
Web API Filters
Exception Handling
Dependency Injection
Web API Versioning
Web API Hosting
Requirements
To start this course, you should be familiar with C#, Visual Studio and SQL Server.
Description
ASP.NET Web API is an open-source framework for building RESTful services using .NET. Learn to implement ASP.NET Web API2 concepts including routing, Action Results, HttpResponseMessage and IHttpActionResult, Content Negotiation, Media-Type Formatters, Model or Parameter Binding, Model Validation and Handling Validation Errors, pipeline, filters, creating custom filters, exception handling, versioning strategies, dependency injection and hosting ASP.NET Web API.
Overview
Section 1: Introduction to REST and Web API
Lecture 1 Introduction to ASP.NET Web API 2
Lecture 2 REST
Lecture 3 1-SOA and SOAP
Lecture 4 Choosing between WCF and Web API
Lecture 5 Creating Controller and Action
Lecture 6 Creating ASP.NET Web API
Lecture 7 Introduction to Postman
Lecture 8 Testing Web API Using Postman
Section 2: ASP.NET Web API Fundamentals
Lecture 9 Introduction to Routing
Lecture 10 Convention Based Routing
Lecture 11 Attribute Routing
Lecture 12 Route Constraints
Lecture 13 Action Result in Web API2
Lecture 14 HttpResponseMessage vs IHttpActionResult
Lecture 15 Creating Custom Result Type
Lecture 16 Content Negotiation
Lecture 17 Media Type Formatters
Lecture 18 Handling Circular Object References
Lecture 19 Parameter Binding in Web API
Lecture 20 Changing Default Parameter Binding
Lecture 21 Parameter Binding In Action
Lecture 22 Model Validations
Lecture 23 Handling Validation Errors
Section 3: ASP.NET Web API Advanced Concepts
Lecture 24 ASP.NET Web API Pipeline
Lecture 25 ASP.NET Web API Filters
Lecture 26 ASP.NET Web API Filters Pipeline
Lecture 27 Filters In Action
Lecture 28 Creating Custom Authentication Filter
Lecture 29 Creating Custom Authorization Filter
Lecture 30 Creating Custom Action Filter
Lecture 31 Creating Custom Exception Filter
Lecture 32 Web API Exception Handling
Lecture 33 Implementing Dependency Injection
Lecture 34 What is Versioning?
Lecture 35 Web API Versioning in Action
Lecture 36 Web API Versioning Using Headers
Lecture 37 Hosting ASP.NET Web API
Lecture 38 IIS Hosting
Lecture 39 Self Hosting
.NET Beginners,.NET Developers,MVC5 Developers,.NET MVC Developer

Download link

rapidgator.net:

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[mitsumi1]

Last updated 12/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 491.54 MB | Duration: 1h 18m

Quickly learn Microsoft One Drive from scratch. Keep your files safe and secure.

What you'll learn
Setup One Drive account
Get familiar with the One Drive interface
Creating and managing files and folders in One Drive
Collaboration/Sharing using One Drive
Creating a Personal vault in Microsoft One Drive
Using One Drive online, on the computer or mobile phone
Troubleshooting One Drive errors

Requirements
Basic computer skills

Description
Whether you want to safely store your data or want to become Microsoft One Drive power user, you've come to the right place.This course will give you a deep understanding of Microsoft One Drive functionality by using hands-on, contextual examples designed to showcase why Microsoft*One Drive is awesome and how they can be applied in a number of ways.This course is for individual users and not SharePoint administrators.__________By the end of the course you'll be able to:· Easily navigate the One Drive interface· Import folders and files to*One Drive· Manage folders and files in*One Drive· Sync your computer data · Create Personal Vault· Use One Drive to collaborate and share files· Filtering, changing viewing options and more· Use all options of managing One Drive - web, computer, mobile· Use some useful collaboration tips and tricks

Overview
Section 1: Into to Microsoft One Drive

Lecture 1 Introduction

Section 2: Basics

Lecture 2 Create Microsoft One Drive account

Section 3: One Drive - Using the WEB interface

Lecture 3 Getting familiar with the interface

Lecture 4 Upload files and folders to One Drive

Lecture 5 Renaming, Deleting files and folders

Lecture 6 Adding new files, Downloading files

Lecture 7 Creating an Album, Viewing file details

Lecture 8 Restoring files in Microsoft OneDrive

Lecture 9 View and Sort options

Lecture 10 Searching and Filtering files

Section 4: One Drive - the Desktop Application

Lecture 11 Set up One Drive on your Windows PC

Lecture 12 Working with Files using Desktop App

Lecture 13 One Drive App Settings

Section 5: Intermediate

Lecture 14 Create a Personal Vault

Lecture 15 Collaboration using One Drive

Lecture 16 Setup One Drive on your phone

Section 6: Advanced topics

Lecture 17 Troubleshooting - sync issues & tips

Lecture 18 "Your syncing a different account" error

Lecture 19 Troubleshooting - error codes

Section 7: Next Steps

Lecture 20 Thank you and Closing Remarks

Lecture 21 Bonus Lecture

Anyone that have not used Microsoft One Drive and want to quickly learn all features

rapidgator.net:

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[mitsumi1]

Published 12/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 7.80 GB | Duration: 6h 10m

Learn how to Play Mike Bereal, Kevin Bond & Other Top Gospel Musicians' Chords and Progressions With Step-by-Step Guide

What you'll learn
Learn how to play modern gospel Piano chords and progressions
Learn embellishment moves
You will learn powerful chord substitution techniques
You will learn how to add melodic fills to your playing on the Piano
You will learn how to play or apply Ditones and Tritones to your chord progressions
You will learn how to reharmonize some hymns
You will learn how to go from playing basic chords/chord progressions to playing advanced chords/chord progressions
Requirements
You should have your own Piano or Keyboard or access to any
You should have basic Piano knowledge at the least
(Optional) Virtual MIDI Piano software like MIDIculous
Description
Looking for modern piano courses? Ever wanted to master gospel Piano keyboard chords? Do you need easy piano keyboard lessons to improve your piano skills? Don't fancy years of learning how to read music? Why not try my course - Gospel Piano Keyboard Chord Mastery Tutorials CollectionSpecially created for those of you wanting to learn how to play the music Piano keyboard with that nice gospel feel, using a mixture of well-known songs and exercises, the Piano lessons give you basic foundation knowledge and also progresses to showing you advanced techniques. You will now be able to improvise and add colour to your playing using tritones, ditones and major 7th chords.Yes that's right! By the end of this course, you would have learnt a lot of chords, patterns & gospel keyboard piano techniques that you can always use while you are playingThe tutorials in this Piano Piano course are perfect for learning Piano, with full Piano HD video footage and virtual keyboard to light up the notes, you can easily understand the piano keyboard lessons as the course progresses.Plus, you can download the MIDI files of all songs on this course and play them on your virtual MIDI keyboard software which means that you can slow down the playing to turtle speed if you wantThe Piano course explains every single note, chord, lick, run played in great detail. Nothing is left outThis is the perfect piano keyboard lesson for all agesIf you want to train your ears on recognizing chord numbers, this class will go a long way in helping you to achieve that because one of the tutorials displays chord numbers as the song demonstration playsThe classes in this Piano course utilize the power of reharmonization to show you how you can play a single song in different waysThis course teaches the followingReharmonization techniquesMaster major 7th chordsUnderstand chord numbers and how they workTritonesDitonesPassing tonesHow to layer chordsBasic to advanced chordsHow to play rootless chordsSimple gospel neo soul techniquesHow to make simple chords sound greatMelodic fillsSimple soloing techniquesChord substitutionsAnd much moreAll you need is your keyboard and notepad because you will be learning a lot and your playing will never remain the same after going through this course
Overview
Section 1: Come Holy Spirit (Enrique Holmes)
Lecture 1 Overview
Lecture 2 Come Holy Spirit Performance
Lecture 3 Come Holy Spirit Study Mode
Lecture 4 Come Holy Spirit (Easy) Performance
Lecture 5 Come Holy Spirit (Easy) Study Mode
Section 2: My Help (Donnie McClurkin) Tutorial
Lecture 6 Overview
Lecture 7 My Help Performance
Lecture 8 My Help Study Mode
Lecture 9 My Help (Easy)
Lecture 10 My Help (Easy) Study Mode
Section 3: Goodness of God (Reharm) Bethel Music Tutorial
Lecture 11 Overview
Lecture 12 Goodness of God Performance
Lecture 13 Goodness of God Study Mode
Lecture 14 Goodness of God Breakdown
Section 4: Never Would Have Made It (Marvin Sapp) Turorial
Lecture 15 Overview
Lecture 16 Never Would Have Made It Performance
Lecture 17 Never Would Have Made It Study Mode
Lecture 18 Never Would Have Made It Breakdown
Section 5: Forever (Jason Nelson) Tutorial
Lecture 19 Overview
Lecture 20 Forever Performance
Lecture 21 Forever Study Mode
Lecture 22 Forever (Easy) Performance
Lecture 23 Forever (Easy) Study Mode
Section 6: Clean Hands (James Ziegler) Tutorial
Lecture 24 Overview
Lecture 25 Clean Hands Performance
Lecture 26 Clean Hands Study Mode
Lecture 27 Clean Hands Breakdown
Section 7: Whom Shall I Fear (Sean Tillery and Changed) Tutorial
Lecture 28 Overview
Lecture 29 Whom Shall I Fear Performance
Lecture 30 Whom Shall I Fear Study Mode
Lecture 31 Whom Shall I Fear Breakdown
Section 8: I Come To the Garden Alone (Hymn) Tutorial
Lecture 32 Overview
Lecture 33 I Come To the Garden Alone Performance
Lecture 34 I Come To the Garden Alone Study Mode
Lecture 35 I Come To the Garden Alone (Easy)
Lecture 36 I Come To the Garden Alone (Easy) Study Mode
Section 9: Lord You're Worthy To Be Praised (Crusade) Tutorial
Lecture 37 Overview
Lecture 38 Lord You're Worthy To Be Praised Performance
Lecture 39 Lord You're Worthy To Be Praised Study Mode
Lecture 40 Lord You're Worthy To Be Praised Breakdown
Intermediate Piano Players,Advanced Piano Players,Musicians who want to master the gospel Piano feel and flavour,If you have taken beginner/basic lessons before and want to refresh your memory and take things further

Download link

rapidgator.net:

https://rapidgator.net/file/5b8bc7a3d1de6b7f53a7b38a69a64bd3/ovveb.Mike.Bereal.Aaron.Lindsey.Kevin.Bond.Piano.Style.Mastery.part01.rar.html
https://rapidgator.net/file/275730e5da7046adb327155d341536c6/ovveb.Mike.Bereal.Aaron.Lindsey.Kevin.Bond.Piano.Style.Mastery.part02.rar.html
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[mitsumi1]

Published 12/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 762.02 MB | Duration: 0h 40m

With 10 Brushes and Paper Textures Document Included

What you'll learn
Layering techniques in Procreate
Professional techniques to clean up and perfect your art
Workflow for use of layers and other great features like snapping
Working with a monochromatic color scheme

Requirements
Procreate experience is an asset but not a prerequisite

Description
On the surface, gouache (pronounced 'gwash') and watercolor seem confusingly similar. Gouache is a member of the watermedia family and can absolutely be used like watercolor. However, in this class,*Monochromatic Textural Gouache Floral in Procreate, we will create the flat style digital gouache painting style reminiscent of the 70's advertising. This style is really oh so popular right now, and we will do it in Procreate! You'll learn the basics of the flat digital gouache digital painting style and how to create a chunky, bold floral artwork. To make this even more fun and challenging, we will create it all in one color!There are Procreate gouache paint brushes included with your enrollment, so you can follow along with every video. I have even included 5 floral outline brushes to jumpstart your sketch if you need them. Nothing beats traditional painting and those happy accidents that can happen with gouache. Digital painting can be equally fun, therapeutic and relaxing, and it can really up your illustration game. Restricting yourself to one color is a fun challenge too because there is no way your artwork's color scheme cannot work. Start painting your own custom and beautifully textured gouache floral today!This class,*Monochromatic Textural Gouache Floral in Procreate, will show you some of my illustration and color choice methodology. In the class, I take you from start to finish in creating a complete illustration. One of my goals is to show you how you can sell your work once it is created. We explore the Society 6 website and important considerations in sizing your art.In this class I'll walk you through:creating a sketch to guide us with the paintingmanipulating layers to be as efficient as possiblemy workflow for use of layers and other great features like snappingworking with a monochromatic color schememethods for keeping the art fully editable for later adjustments and recoloringJoin me in this class to paint a gouache illustration on your iPad in Procreate. I am going to walk you through all the steps to creating a digital gouache painting and you'll learn all the skills you need to make more artwork in the future with this style.The key concepts I will include:layering techniqueshow to clean up and perfect your artwhat to do with your art when it is completeThis is an ideal class for you, even if you are not sure what you will use the art for, uploading to a POD site or whatever! Learning new Procreate workflows is always desirable. I guarantee you will create something really appealing, and it's so much fun, once you get the hang of it!Intro to*Monochromatic Textural Gouache Floral in ProcreateThis short intro will give you an overview of the class.Lesson 1: Overview and Document Set UpIn this lesson, we will take a quick look at inspiration on Pinterest. I will give an overview of the document set-up. I explain how to use two of the brushes in the provided set to create a variable cloud-like base of paint as a starting off point.Lesson 2: Rough Sketch and Painting PointersIn this lesson, I will break down the process of choosing what brushes to use as well as showing you how to block in all the main shapes of the flowers. I show you brushes from the resources package and explain my technique of painting roughly and then using the eraser to sharpen up some of the points.Lesson 3: Adding Color to the MotifsIn this lesson, I will explain the sizing of the brushes in relation to the look we are trying to achieve. I will show you some of the key techniques I use and explain every step of the way. I go through one flower from start to finish, including touch-ups, so you get the idea.Lesson 4: Completing the Full Coloring ProcessThis video is about completing the full coloring process. I talk you through the time lapses and explain my entire process. The whole idea is to keep it looking like it is hand painted. I do some touch up here to ensure there is consistency between motifs.Lesson 5: Consistent Spacing Around the MotifsIn this lesson, I go through and do all the touch-ups. I adjust anything else that I can see. Adding all the finishing touches is the focus of this lesson. I will be checking all the flower "outlines" then further enhancing all the foreground items by sharpening edges and generally cleaning everything up. This is a quick lesson featuring a time-lapse.Lesson 6: Uploading to Society 6 and Mock-UpsIn this lesson, I suggest some additional steps you can take. One is uploading to Society 6 and I take you through all the steps. I explain the sizing of the artwork for fitting various pieces. I will also talk briefly about mock ups.Lesson 7: Conclusion, Mockup and Next StepsWe will conclude everything in this lesson. I show you a couple of quick mock-ups with the artwork and we end with a chat about next steps.Concepts covered:Concepts covered include but are not limited to Procreate floral design, gouache paint techniques in Procreate, layering, Procreate brushes, Procreate canvas settings, gouache brush settings, gouache-specific issues, working from a sketch, the Brush Studio in Procreate, adjusting Procreate brushes, sizing of documents and brushes, compositions with brushes, procreate brushes for adding interesting details, gouache workflow best practices, painting best practice, Procreate composites, techniques with paints and blending, uploading to Society 6, mock ups, and much more.You will get .46 minutes of direction from an instructor who has been in graphic design business and education for over 40 yearsknowledge of multiple ways to solve each illustration challengea sampler brush set including flower outlines to expedite the production of the initial sketch

Overview
Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Blocking In the Flower Shapes

Lecture 3 Adding Color to the Motifs

Lecture 4 Completing the Full Coloring Process

Lecture 5 Consistent Spacing Around the Motifs

Lecture 6 Uploading to Society 6 and Mock-Ups

Lecture 7 Conclusion, Mockup and Next Steps

Illustrators wanting to improve their Procreate Skills,Artists wanting to learn new digital techniques

rapidgator.net:

https://rapidgator.net/file/9a1e0bd019df21e0b62c08f881e8e81a/vyatr.Monochromatic.Textural.Gouache.Floral.In.Procreate.rar.html

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[mitsumi1]

Last updated 4/2019
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.11 GB | Duration: 3h 5m

Build smart AI-driven linguistic applications using deep learning and NLP techniques

What you'll learn
Attain a strong foundation in Python for deep learning and NLP
Build applications with Python, using the Natural Language Toolkit via NLP
Get to grips on various NLP techniques to build an intelligent Chatbot
Classify text and speech using the Naive Bayes Algorithm
Use various tools and algorithms to build real-world applications
Build solutions such as text similarity, summarization, sentiment analysis and anaphora resolution to get up to speed with new trends in NLP
Write your own POS taggers and grammars so that any syntactic analyses can be performed easily
Use the inbuilt chunker and create your own chunker to evaluate trained models
Create your own named entities using dictionaries to use inbuilt text classification algorithms
Requirements
Basic knowledge of NLP and some prior programming experience in Python is assumed. Familiarity with deep learning will be helpful.
Description
Natural Language Processing (NLP) is the most interesting subfield of data science. It offers powerful ways to interpret and act on spoken and written language. It's used to help deal with customer support enquiries, analyse how customers feel about a product, and provide intuitive user interfaces. If you wish to build high performing day-to-day apps by leveraging NLP, then go for this course.This course teaches you to write applications using one of the popular data science concepts, NLP. You will begin with learning various concepts of natural language understanding, Natural Language Processing, and syntactic analysis. You will learn how to implement text classification, identify parts of speech, tag words, and more. You will also learn how to analyze sentence structures and master syntactic and semantic analysis. You will learn all of these through practical demonstrations, clear explanations, and interesting real-world examples. This course will give you a versatile range of NLP skills, which you will put to work in your own applications.Contents and OverviewThis training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, Natural Language Processing in Practice, will help you gain NLP skills by practical demonstrations, clear explanations, and interesting real-world examples. It will give you a versatile range of deep learning and NLP skills that you can put to work in your own applications.The second course, Developing NLP Applications Using NLTK in Python, course is designed with advanced solutions that will take you from newbie to pro in performing natural language processing with NLTK. You will come across various concepts covering natural language understanding, natural language processing, and syntactic analysis. It consists of everything you need to efficiently use NLTK to implement text classification, identify parts of speech, tag words, and more. You will also learn how to analyze sentence structures and master syntactic and semantic analysis.By the end of this course, you will be all ready to bring deep learning and NLP techniques to build intelligent systems using NLTK in Python.Meet Your Expert(s):We have the best work of the following esteemed author(s) to ensure that your learning journey is smooth:Smail Oubaalla is a talented Software Engineer with an interest in building the most effective, beautiful, and correct piece of software possible. He has helped companies build excellent programs. He also manages projects and has experience in designing and managing new ones. When not on the job, he loves hanging out with friends, hiking, and playing sports (football, basketball, rugby, and more). He also loves working his way through every recipe he can find in the family cookbook or elsewhere, and indulging his love for seeing new places.Krishna Bhavsar has spent around 10 years working on natural language processing, social media analytics, and text mining in various industry domains such as hospitality, banking, healthcare, and more. He has worked on many different NLP libraries such as Stanford CoreNLP, IBM's SystemText and BigInsights, GATE, and NLTK to solve industry problems related to textual analysis. He has also worked on analyzing social media responses for popular television shows and popular retail brands and products. He has also published a paper on sentiment analysis augmentation techniques in 2010 NAACL. he recently created an NLP pipeline/toolset and open sourced it for public use. Apart from academics and technology, Krishna has a passion for motorcycles and football. In his free time, he likes to travel and explore. He has gone on pan-India road trips on his motorcycle and backpacking trips across most of the countries in South East Asia and Europe.Naresh Kumar has more than a decade of professional experience in designing, implementing, and running very-large-scale Internet applications in Fortune Top 500 companies. He is a full-stack architect with hands-on experience in domains such as ecommerce, web hosting, healthcare, big data and analytics, data streaming, advertising, and databases. He believes in open source and contributes to it actively. Naresh keeps himself up-to-date with emerging technologies, from Linux systems internals to frontend technologies. He studied in BITS-Pilani, Rajasthan with dual degree in computer science and economics.Pratap Dangeti develops machine learning and deep learning solutions for structured, image, and text data at TCS, in its research and innovation lab in Bangalore. He has acquired a lot of experience in both analytics and data science. He received his master's degree from IIT Bombay in its industrial engineering and operations research program. Pratap is an artificial intelligence enthusiast. When not working, he likes to read about nextgen technologies and innovative methodologies. He is also the author of the book Statistics for Machine Learning by Packt.
Overview
Section 1: Natural Language Processing in Practice
Lecture 1 Course Overview
Lecture 2 Setup and Installation
Lecture 3 Understanding NLP and Its Benefits
Lecture 4 Exploring NLP Tools and Libraries
Lecture 5 Tokenization
Lecture 6 Stop Words
Lecture 7 Part of Speech Tagging
Lecture 8 Stemming and Lemmatization
Lecture 9 Named Entity Recognition
Lecture 10 TF-IDF
Lecture 11 Introduction to Sentiment Analysis
Lecture 12 Pre-Processing the Dataset
Lecture 13 Word Embeddings
Lecture 14 Build the Network
Lecture 15 Train the Model
Lecture 16 Test the Model
Lecture 17 Apply to a Single Input
Lecture 18 Machine Learning
Lecture 19 Classification
Lecture 20 Pre-Processing the Dataset
Lecture 21 Naïve Bayes and SVM
Lecture 22 Train the Classifier
Lecture 23 Test the Classifier
Lecture 24 Chatbots
Lecture 25 Simple NLTK Bot
Lecture 26 Create a ChatterBot
Lecture 27 Enhancing the Chabot
Lecture 28 Training the Chabot
Section 2: Developing NLP Applications Using NLTK in Python
Lecture 29 The Course Overview
Lecture 30 Exploring the In-Built Tagger
Lecture 31 Writing Your Own Tagger
Lecture 32 Training Your Own Tagger
Lecture 33 Learning to Write Your Own Grammar
Lecture 34 Writing a Probabilistic CFG
Lecture 35 Writing a Recursive CFG
Lecture 36 Using the Built-In Chunker
Lecture 37 Writing Your Own Simple Chunker
Lecture 38 Training a Chunker
Lecture 39 Parsing Recursive Descent
Lecture 40 Parsing Shift-Reduce
Lecture 41 Parsing Dependency Grammar and Projective Dependency
Lecture 42 Parsing a Chart
Lecture 43 Using Inbuilt NERs
Lecture 44 Creating, Inversing, and Using Dictionaries
Lecture 45 Choosing the Feature Set
Lecture 46 Segmenting Sentences Using Classification
Lecture 47 Writing a POS Tagger with Context
Lecture 48 Creating an NLP Pipeline
Lecture 49 Solving the Text Similarity Problem
Lecture 50 Resolving Anaphora
Lecture 51 Disambiguating Word Sense
Lecture 52 Performing Sentiment Analysis
Lecture 53 Exploring Advanced Sentiment Analysis
Lecture 54 Creating a Conversational Assistant or Chatbot
This course is for data science professionals who would like to expand their knowledge from traditional NLP techniques to state-of-the-art techniques in the application of NLP.

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[mitsumi1]

Last updated 9/2021
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.75 GB | Duration: 2h 36m

Network Function Virtualization - Introduction

What you'll learn
NFV Concept with all Virtualization Identity l for all Telecom Professional
Requirements
NO
Description
Network functions virtualization (NFV) is a network architecture concept that uses IT virtualization technologies to virtualize entire classes of network node functions into building blocks that can be connected or chained to create and deliver communication services.This course is intended for students who wish to gain a thorough understanding of the NFV architecture, its development phases, and its relationship to SDN and Cloud Technology. The various components (MANO, NFVI, and VNFs) are described along with their interaction, and use cases are examined to complete the picture. As networking in a world of virtual machines can be challenging for virtualization novices, special attention is paid to this topic.Network Functions Virtualization course starts with a discussion of the benefits and motivation of NFV and overview of NFV architecture, NVF components, NFV requirements and implementation challenges, and enablers provided by 5G, LTE and IMS network functions. You will also learn how Software Defined Networking (SDN) technologies and NFV can be integrated. Network Functions Virtualization allows decoupling of critical network functions such as such as NAT, DHCP, DNS, firewall, IDS from proprietary hardware appliances. These critical functions are able to run in software only and simplifies networking components and leads to a fully virtualized infrastructure. This is applicable to data plane processing or control plane function in both wired and wireless network infrastructures.
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Service And Infrastrue Evolution
Lecture 3 The ETSI NFV Architecture
Lecture 4 How NFV Leverages SDN
Lecture 5 NFV Management and Operation
Lecture 6 Summary of Lecture 1
Lecture 7 Summary of Lecture 2
Lecture 8 Summary of Lecture 3
Telecom Professional & Cloud Support Engineers

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[mitsumi1]

Last updated 1/2021
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 531.32 MB | Duration: 0h 43m

How to create a Parametric Building using a single Polyline with Rhino and Grasshopper

What you'll learn
How to use Grasshopper for Rhino
How parametric design works
How to create a parametric Building Structure
3D Modeling
3D Architecture
Requirements
Basic Rhino
Basic Grasshopper
Description
If you are interested in Grasshopper and want to learn how it works, this is perfect for you. Don't be intimidated and give it a try! My name is David Copete and I will make sure to guide you through the exercise steps so you can learn the interface and how to work with this program. Once you get through the initial learning stage, it will become one of your most useful design tools.In this class you will learn how to create a Parametric Building using a single Polyline using Grasshopper for Rhino. These tutorials are great for students who are trying to expand their design arsenal. They will allow you to create some complex and impressive designs in a quick amount of time. The steps in this tutorial are useful for many other applications. So make sure to follow me for future lessons, and let me know if you have any questions, or ideas for future videos. By the end of this course, you will have a better understanding of how Parametric Design works and how you can apply it to your specific use case.I highly recommend this lesson! Why?· It is simple and straightforward with full explanations of the process of parametric design using Grasshopper.· I will show you a real world example. By the end of the lesson you have a useful script that you can use to share with your firm, or impress your friends and teachers.Who can benefit from this lesson?· Beginners who want to learn Grasshopper and Parametric Design· Architects· Engineers· Design students· 3D modelers interested in parametric design.· 3D Print designers
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Polyline and Walls
Lecture 2 2
Section 3: Floors Slab
Lecture 3 Floors Slab
Section 4: Roof 1
Lecture 4 Roof 1
Section 5: Roof 2
Lecture 5 Roof 2
Section 6: Doors and Windows
Lecture 6 Doors and Windows
Section 7: Finalizing and Baking
Lecture 7 7
Section 8: Final Thoughts and Variations
Lecture 8 Final Thoughts and Variations
Architects,Engineers,Students,Designers,3D Modelers

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