All mitsumi'1s Applications !! (updated daily) - Страница 1945

mitsumi1 · 27.04.2020, 08:05

Deep learning added a huge boost to the already rapidly developing field of computer vision. With deep learning, a lot of new applications of computer vision techniques have been introduced and are now becoming parts of our everyday lives. These include face recognition and indexing, photo stylization or machine vision in self-driving cars.

The goal of this course is to introduce students to computer vision, starting from basics and then turning to more modern deep learning models. We will cover both image and video recognition, including image classification and annotation, object recognition and image search, various object detection techniques, motion estimation, object tracking in video, human action recognition, and finally image stylization, editing and new image generation. In course project, students will learn how to build face recognition and manipulation system to understand the internal mechanics of this technology, probably the most renown and often demonstrated in movies and TV-shows example of computer vision and AI.

Syllabus

Introduction to image processing and computer vision
-Welcome to the "Deep Learning for Computer Vision" course! In the first introductory week, you'll learn about the purpose of computer vision, digital images, and operations that can be applied to them, like brightness and contrast correction, convolution and linear filtering. These simple image processing methods solve as building blocks for all the deep learning employed in the field of computer vision. Let's get started!

Convolutional features for visual recognition
-Module two revolves around general principles underlying modern computer vision architectures based on deep convolutional neural networks. We'll build and analyse convolutional architectures tailored for a number of conventional problems in vision: image categorisation, fine-grained recognition, content-based retrieval, and various aspect of face recognition. On the practical side, you'll learn how to build your own key-points detector using a deep regression CNN.

Object detection
-In this week, we focus on the object detection task - one of the central problems in vision. We start with recalling the conventional sliding window + classifier approach culminating in Viola-Jones detector. Tracing the development of deep convolutional detectors up until recent days, we consider R-CNN and single shot detector models. Practice includes training a face detection model using a deep convolutional neural network.

Object tracking and action recognition
-The fourth module of our course focuses on video analysis and includes material on optical flow estimation, visual object tracking, and action recognition. Motion is a central topic in video analysis, opening many possibilities for end-to-end learning of action patterns and object signatures. You will learn to design computer vision architectures for video analysis including visual trackers and action recognition models.

Image segmentation and synthesis
-In the last module of this course, we shall consider problems where the goal is to predict entire image. These are semantic image segmentation and image synthesis problems. Modern CNNs tailored for segmentation employ multiple specialised layers to allow for efficient training and inference. Lastly, we will get to know Generative Adversarial Networks - a bright new idea in machine learning, allowing to generate arbitrary realistic images.

General
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Screenshots

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Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 27.04.2020, 08:07

Coursera - Google IT Support Professional Certificate by Google
Video: .mp4 (1280x720) | Audio: AAC, 44100 kHz, 2ch | Size: 11.6 Gb | Materials: PDF
Genre: eLearning Video | Duration: 28h 11m | Language: English
The launchpad to a career in IT. This program is designed to take beginner learners to job readiness in under six months.

Technical Support Fundamentals
This course is the first of a series that aims to prepare you for a role as an entry-level IT Support Specialist. In this course, you'll be introduced to the world of Information Technology, or IT. You'll learn about the different facets of Information Technology, like computer hardware, the Internet, computer software, troubleshooting, and customer service. This course covers a wide variety of topics in IT that are designed to give you an overview of what's to come in this certificate program.

By the end of this course, you'll be able to: ● understand how the binary system works ● assemble a computer from scratch ● choose and install an operating system on a computer ● understand what the Internet is, how it works, and the impact it has in the modern world ● learn how applications are created and how they work under the hood of a computer ● utilize common problem-solving methodologies and soft skills in an Information Technology setting

The Bits and Bytes of Computer Networking
This course is designed to provide a full overview of computer networking. We'll cover everything from the fundamentals of modern networking technologies and protocols to an overview of the cloud to practical applications and network troubleshooting.

By the end of this course, you'll be able to: ● describe computer networks in terms of a five-layer model ● understand all of the standard protocols involved with TCP/IP communications ● grasp powerful network troubleshooting tools and techniques ● learn network services like DNS and DHCP that help make computer networks run ● understand cloud computing, everything as a service, and cloud storage

Operating Systems and You: Becoming a Power User
In this course - through a combination of video lectures, demonstrations, and hands-on practice - you'll learn about the main components of an operating system and how to perform critical tasks like managing software and users, and configuring hardware.

By the end of this course you'll be able to: ● navigate the Windows and Linux filesystems using a graphical user interface and command line interpreter ● set up users, groups, and permissions for account access ● install, configure, and remove software on the Windows and Linux operating systems ● configure disk partitions and filesystems ● understand how system processes work and how to manage them ● work with system logs and remote connection tools ● utilize operating system knowledge to troubleshoot common issues in an IT Support Specialist role

System Administration and IT Infrastructure Services
This course will transition you from working on a single computer to an entire fleet. Systems administration is the field of IT that's responsible for maintaining reliable computers systems in a multi-user environment. In this course, you'll learn about the infrastructure services that keep all organizations, big and small, up and running. We'll deep dive on cloud so that you'll understand everything from typical cloud infrastructure setups to how to manage cloud resources. You'll also learn how to manage and configure servers and how to use industry tools to manage computers, user information, and user productivity. Finally, you'll learn how to recover your organization's IT infrastructure in the event of a disaster.

By the end of this course you'll be able to: ● utilize best practices for choosing hardware, vendors, and services for your organization ● understand how the most common infrastructure services that keep an organization running work, and how to manage infrastructure servers ● understand how to make the most of the cloud for your organization ● manage an organization's computers and users using the directory services, Active Directory, and OpenLDAP ● choose and manage the tools that your organization will use ● backup your organization's data and know how to recover your IT infrastructure in the case of a disaster ● utilize systems administration knowledge to plan and improve processes for IT environments

IT Security: Defense against the digital dark arts
This course covers a wide variety of IT security concepts, tools, and best practices. It introduces threats and attacks and the many ways they can show up. We'll give you some background of encryption algorithms and how they're used to safeguard data. Then, we'll dive into the three As of information security: authentication, authorization, and accounting. We'll also cover network security solutions, ranging from firewalls to Wifi encryption options. Finally, we'll go through a case study, where we examine the security model of Chrome OS. The course is rounded out by putting all these elements together into a multi-layered, in-depth security architecture, followed by recommendations on how to integrate a culture of security into your organization or team.

At the end of this course, you'll understand: ● how various encryption algorithms and techniques work as well as their benefits and limitations. ● various authentication systems and types. ● the difference between authentication and authorization. ● how to evaluate potential risks and recommend ways to reduce risk. ● best practices for securing a network. ● how to help others to grasp security concepts and protect themselves.

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Код:

rapidgator_net:
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Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 27.04.2020, 08:09

Coursera - Introduction to Programming in C Specialization by Duke University
Video: .mp4 (1280x720) | Audio: AAC, 44100 kHz, 2ch | Size: 1.38 Gb
Genre: eLearning Video | Duration: 5h 27m | Language: English
Learn Essential Programming Fundamentals. Master programming skills to solve complex problems.

Programming Fundamentals
Programming is an increasingly important skill, whether you aspire to a career in software development, or in other fields. This course is the first in the specialization Introduction to Programming in C, but its lessons extend to any language you might want to learn. This is because programming is fundamentally about figuring out how to solve a class of problems and writing the algorithm, a clear set of steps to solve any problem in its class. This course will introduce you to a powerful problem-solving process-the Seven Steps-which you can use to solve any programming problem. In this course, you will learn how to develop an algorithm, then progress to reading code and understanding how programming concepts relate to algorithms.

Writing, Running, and Fixing Code in C
Building on the course Programming Fundamentals, this course will teach you how to write code by first planning what your program should do-an important approach for novice and professional programmers. You will learn how to compile and run your program, and then how to test and debug it. This course builds on the Seven Steps you have already learned

Pointers, Arrays, and Recursion
The third course in the specialization Introduction to Programming in C introduces the programming constructs pointers, arrays, and recursion. Pointers provide control and flexibility when programming in C by giving you a way to refer to the location of other data. Arrays provide a way to bundle data by guaranteeing sequences of data are grouped together. Finally, recursive functions-functions that call themselves-provide an alternative to iteration that are very useful for implementing certain algorithms.

Interacting with the System and Managing Memory
The final course in the specialization Introduction to Programming in C will teach you powerful new programming techniques for interacting with the user and the system and dynamically allocating memory. You will learn more sophisticated uses for pointers, such as strings and multidimensional arrays, as well as how to write programs that read and write files and take input from the user. Learning about dynamic memory allocation will allow your programs to perform complex tasks that will be applied in the final part of the specialization project: a Monte Carlo simulation for calculating poker hand probabilities.

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Код:

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Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 27.04.2020, 08:10

Coursera - IT Fundamentals for Cybersecurity Specialization by IBM
Video: .mp4 (1280x720) | Audio: AAC, 44100 kHz, 2ch | Size: 1.81 Gb | Materials: PDF
Genre: eLearning Video | Duration: 17h 58m | Language: English
Launch your career in Cybersecurity. Acquire the knowledge you need to work in Cybersecurity

Introduction to Cybersecurity Tools & Cyber Attacks
This course gives you the background needed to understand basic Cybersecurity. You will learn the history of Cybersecurity, types and motives of cyber attacks to further your knowledge of current threats to organizations and individuals. Key terminology, basic system concepts and tools will be examined as an introduction to the Cybersecurity field.

You will learn about critical thinking and its importance to anyone looking to pursue a career in Cybersecurity. Finally, you will begin to learn about organizations and resources to further research cybersecurity issues in the Modern era. This course is intended for anyone who wants to gain a basic understanding of Cybersecurity or as the first course in a series of courses to acquire the skills to work in the Cybersecurity field as a Jr Cybersecurity Analyst. The completion of this course also makes you eligible to earn the Introduction to Cybersecurity Tools & Cyber Attacks IBM digital badge. More information about the badge can be found [Ссылки доступны только зарегистрированным пользователям . Регистрируйся тут...] Want to see if this is a good career fit for you? IBM is collaborating with MyInnerGenius, one of the world's leading assessment companies, to help you find out which careers in IT you will love - careers that are a great match for you - regardless of your education or experience - even if you've never considered a role in IT. In less than an hour, you will receive targeted recommendations for hot roles where you will excel and everything you need to get started. You can even earn IBM Digital Badges to show the world your skills! Find out more [Ссылки доступны только зарегистрированным пользователям . Регистрируйся тут...]

Cybersecurity Roles, Processes & Operating System Security
This course gives you the background needed to understand basic Cybersecurity around people. process and technology. You will learn:

● Understand the key cybersecurity roles within an Organization. ● List key cybersecurity processes and an example of each process. ● Describe the architecture, file systems, and basic commands for multiple operating systems including Windows, Mac/OS, Linux and Mobile. ● Understand the concept of Virtualization as it relates to cybersecurity Finally, you will begin to learn about organizations and resources to further research cybersecurity issues in the Modern era. This course is intended for anyone who wants to gain a basic understanding of Cybersecurity or as the second course in a series of courses to acquire the skills to work in the Cybersecurity field as a Jr Cybersecurity Analyst. The completion of this course also makes you eligible to earn the Cybersecurity Roles, Processes & Operating System Security IBM digital badge.

Cybersecurity Compliance Framework & System Administration
This course gives you the background needed to understand the key cybersecurity compliance and industry standards. This knowledge will be important for you to learn no matter what cybersecurity role you would like to acquire or have within an organization.

You will learn the basic commands for user and server administration as it relates to security. You will need this skill to be able to understand vulnerabilities within your organizations operating systems. You will learn the concepts of endpoint security and patch management. Both of these topics are important to keep systems current to avoid cybersecurity incidents against an organization. Finally you will learn in depth skills around cryptography and encryption to understand how these concepts affect software within a company. This course is intended for anyone who wants to gain a basic understanding of Security Frameworks, Compliance, endpoint management, encryption or cryptography or as the third course in a series of courses to gain the skill as a Jr Cybersecurity analyst.

Network Security & Database Vulnerabilities
This course gives you the background needed to understand basic network security. You will learn the about Local Area Networks, TCP/IP, the OSI Framework and routing basics. You will learn how networking affects security systems within an organization. You will learn the network components that guard an organization from cybersecurity attacks.

In addition to networking, you will learn about database vulnerabilities and the tools/knowledge needed to research a database vulnerability for a variety of databases including SQL Injection, Oracle, Mongo and Couch. You will learn about various security breach types associated with databases and organizations that define standards and provide tools for cybersecurity professionals. This course is intended for anyone who wants to gain a basic understanding of Network Security/Database Vulnerabilities or as the fourth course in a series of courses to acquire the skills to work in the Cybersecurity field as a Jr Cybersecurity Analyst.

Download link:

Код:

rapidgator_net:
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Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 27.04.2020, 08:11

If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new "superpower" that will let you build AI systems that just weren't possible a few years ago.

In this course, you will learn the foundations of deep learning. When you finish this class, you will:
- Understand the major technology trends driving Deep Learning
- Be able to build, train and apply fully connected deep neural networks
- Know how to implement efficient (vectorized) neural networks
- Understand the key parameters in a neural network's architecture

This course also teaches you how Deep Learning actually works, rather than presenting only a cursory or surface-level description. So after completing it, you will be able to apply deep learning to a your own applications. If you are looking for a job in AI, after this course you will also be able to answer basic interview questions.

This is the first course of the Deep Learning Specialization.

Syllabus

Introduction to deep learning
-Be able to explain the major trends driving the rise of deep learning, and understand where and how it is applied today.

Neural Networks Basics
-Learn to set up a machine learning problem with a neural network mindset. Learn to use vectorization to speed up your models.

Shallow neural networks
-Learn to build a neural network with one hidden layer, using forward propagation and backpropagation.

Deep Neural Networks
-Understand the key computations underlying deep learning, use them to build and train deep neural networks, and apply it to computer vision.

General
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Screenshots

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/63c8b5bc251c89220eb1cc6f9d0924a9/6x2is.Coursera..Neural.Networks.and.Deep.Learning.Stanford.University.part01.rar.html
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Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 27.04.2020, 08:13

Coursera - New Models of Business in Society by University Of Virginia
Video: .mp4 (1280x720) | Audio: AAC, 44100 kHz, 2ch | Size: 1.20 Gb
Genre: eLearning Video | Duration: 3h 11m | Language: English
In this course we will be discussing the emergence of a new story about business. This new story locates business within a societal framework.

Almost every business creates or destroys value for customers, suppliers, employees, communities and society, in addition to shareholders and other financiers. A number of new models of business can be built on this idea such as corporate responsibility, philanthropy, shared value and sustainability. Profits and stakeholder value go together, and this course explains how. The final session explores the idea of how to become a stakeholder entrepreneur and create a business that makes money and makes the world a better place.

Business in Society: The Problem
We will begin the course learning the dominant story of business and discussing the four flaws in the dominant story. We will learn about the global financial crisis and how a new story is now emerging.

Corporate Philanthropy and Corporate Social Responsibility
In our second module, we discuss both the histories and current issues surrounding corporate philanthropy, corporate social responsibility, and the environmental crisis.

Creating Value for Stakeholders
In our third module, we look at the stakeholder approach to business, it's purpose and what it looks like to create value for stakeholders.

Becoming a Stakeholder Entrepreneur
We close the course by learning how to become a stakeholder entrepreneur by discussing specific examples. This module concludes with an opportunity for what your next steps might be as a stakeholder entrepreneur.

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/2d19f1a77dd4b580465702ad18317730/ukc2a.Coursera..New.Models.of.Business.in.Society.by.University.Of.Virginia.rar.html

nitroflare_com:
https://nitroflare.com/view/BF7E8B6EEEC0071/ukc2a.Coursera..New.Models.of.Business.in.Society.by.University.Of.Virginia.rar

uploadgig_com:
http://uploadgig.com/file/download/70B0d9AbD5da7926/ukc2a.Coursera..New.Models.of.Business.in.Society.by.University.Of.Virginia.rar

Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 27.04.2020, 08:14

Coursera - Palo Alto Networks Cybersecurity Specialization by Palo Alto
Video: .mp4 (1280x720) | Audio: AAC, 44100 kHz, 2ch | Size: 2.50 Gb | Materials: PDF
Genre: eLearning Video | Duration: 9h 31m | Language: English
Palo Alto Networks Cybersecurity Specialization. Gain cybersecurity workforce entry level skills while implementing the Next Generation Firewall.

Palo Alto Networks Academy Cybersecurity Foundation
In this course, students will learn the fundamentals of cybersecurity and identify the concepts required to recognize and potentially mitigate attacks against enterprise networks as well as mission critical infrastructure. Course 1 of 5 in the Palo Alto Networks Security Operating Platform Cybersecurity Specialization. Course Structure - 7 Modules Each module has the following components: Reading, e-learning, Discussion, and Assessment. E-learning components either direct students to online resources or deliver audio transcriptions of the module reading component. Assessments are quizzes that are designed as learning activities, and allow students two attempts for each quiz. At the end of the course there is a hands-on lab activity. Supporting Materials The CyberSecurity Survival Guide is a downloadable pdf file that presents information included in both the Foundation and Gateway classes as well as glossary 'key' terms and figures. The Foundation course maps to Chapter 1 of the Survival Guide.

PaloAlto Networks Gateway 1
Gateway 1 Course Description: Gateway Part I provides the student with a partial understanding of the fundamental tenants of networking and covers the general concepts involved in maintaining a secure network computing environment. Upon successful completion of this course, students will be able to partially examine and describe general networking fundamentals, and also implement basic networking configuration techniques. Why Should You Take This Course: Gateway 1 Course Objectives: Upon completion of this course, students will be able to: * Demonstrate knowledge of interconnected technology in daily communication and understanding systems that need protection. * Demonstrated knowledge of physical, logical, and virtual addressing that accommodates various sized networks through the use of subnet mask schemes. * Explain the TCP/IP Model and correctly identify the functions of the specific layers including packet encapsulation and lifecycle.

Cybersecurity Gateway II
Gateway II Course Description Gateway II provides the student with a full understanding of the fundamental tenants of networking and covers the general concepts involved in maintaining a secure network computing environment. Upon successful completion of this course, students will be able to fully examine, describe general networking fundamentals and implement basic networking configuration techniques. Gateway II Learning Objectives: Upon completion of this course, students will be able to: * Examine cybersecurity landscape environments, attack threat vectors, exposure, vulnerabilities, and risk factors. * Accurately explain common use of cloud, virtualization, storage, backup, and recovery procedures. * Apply the knowledge and skills necessary to plan, design, implement, troubleshoot, and maintain network infrastructure environments.

Palo Alto Networks Cybersecurity Essentials I
Course Description: Essentials I provides the student with a partial understanding of the fundamental tenants of cybersecurity and covers the general security concepts involved in maintaining a secure network computing environment. Students will partially learn the nature and scope of today's cybersecurity challenges, strategies for network defense, as well as detailed information about next-generation cybersecurity solutions. Students will also deploy a variety of security methodologies as well as technologies and concepts used for implementing a secure network environment. Learning Objectives: Upon completion of this course, students will be able to: * Formulate an industry-standard design to protect infrastructure against cybersecurity threats. * Apply advanced filtering methodologies such as user, application, and content ID to protect against all known and unknown attack vectors. * Describe the basics of cryptography including synchronous/asynchronous encryption, PKI, and certificates.

Palo Alto Networks Cybersecurity Essentials II
Course Description: Essentials II provides the student with a full understanding of the fundamental tenants of cybersecurity and covers the general security concepts involved in maintaining a secure network computing environment. Students will fully learn the nature and scope of today's cybersecurity challenges, strategies for network defense, as well as detailed information about next-generation cybersecurity solutions. Students will also deploy a variety of security methodologies as well as technologies and concepts used for implementing a secure network environment. Learning Objectives: Upon completion of this course, students will be able to: * Demonstrate ability to assess and harden endpoints based on security policies. * Describe uses of advanced malware research and analysis to provide enhanced protection for enterprise networks. * Examine mobile and cloud-based connection technologies.

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/2d26a8ee73a46bf9ee83ca6bc5f42537/to0ri.Coursera..Palo.Alto.Networks.Cybersecurity.Specialization.by.Palo.Alto.rar.html

nitroflare_com:
https://nitroflare.com/view/FCAA32294E9312F/to0ri.Coursera..Palo.Alto.Networks.Cybersecurity.Specialization.by.Palo.Alto.rar

uploadgig_com:
http://uploadgig.com/file/download/3bCe2fCa00320C51/to0ri.Coursera..Palo.Alto.Networks.Cybersecurity.Specialization.by.Palo.Alto.rar

Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 27.04.2020, 08:16

Welcome to the Reinforcement Learning course. Here you will find out about: - foundations of RL methods: value/policy iteration, q-learning, policy gradient, etc. -- with math & batteries included - using deep neural networks for RL tasks -- also known as "the hype train"

- state of the art RL algorithms
-- and how to apply duct tape to them for practical problems.

- and, of course, teaching your neural network to play games
-- because that's what everyone thinks RL is about. We'll also use it for seq2seq and contextual bandits.

Jump in. It's gonna be fun!

Syllabus

Intro: why should I care?
-In this module we are gonna define and "taste" what reinforcement learning is about. We'll also learn one simple algorithm that can solve reinforcement learning problems with embarrassing efficiency.

At the heart of RL: Dynamic Programming
-This week we'll consider the reinforcement learning formalisms in a more rigorous, mathematical way. You'll learn how to effectively compute the return your agent gets for a particular action - and how to pick best actions based on that return.

Model-free methods
-This week we'll find out how to apply last week's ideas to the real world problems: ones where you don't have a perfect model of your environment.

Approximate Value Based Methods
-This week we'll learn to scale things even farther up by training agents based on neural networks.

Policy-based methods
-We spent 3 previous modules working on the value-based methods: learning state values, action values and whatnot. Now's the time to see an alternative approach that doesn't require you to predict all future rewards to learn something.

Exploration
-In this final week you'll learn how to build better exploration strategies with a focus on contextual bandit setup. In honor track, you'll also learn how to apply reinforcement learning to train structured deep learning models.

General
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Screenshots

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/8948c20521984ca0b5f8e8c9df79ca6e/8vtix.Coursera..Practical.Reinforcement.Learning.Higher.School.of.Economics.part01.rar.html
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https://rapidgator.net/file/4b84674a1570299942a2ab34b4562c90/8vtix.Coursera..Practical.Reinforcement.Learning.Higher.School.of.Economics.part03.rar.html
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https://rapidgator.net/file/3f0132484ec19e8bec0012ce1c81502a/8vtix.Coursera..Practical.Reinforcement.Learning.Higher.School.of.Economics.part09.rar.html
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nitroflare_com:
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uploadgig_com:
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Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 27.04.2020, 08:17

Coursera - Python for Everybody Specialization by University of Michigan
Video: .mp4 (1280x720) | Audio: AAC, 44100 kHz, 2ch | Size: 6.75 Gb | Materials: PDF
Genre: eLearning Video | Duration: 21h 57m | Language: English
Learn to Program and Analyze Data with Python. Develop programs to gather, clean, analyze, and visualize data.

Programming for Everybody (Getting Started with Python)
This course aims to teach everyone the basics of programming computers using Python. We cover the basics of how one constructs a program from a series of simple instructions in Python. The course has no pre-requisites and avoids all but the simplest mathematics. Anyone with moderate computer experience should be able to master the materials in this course. This course will cover Chapters 1-5 of the textbook "Python for Everybody". Once a student completes this course, they will be ready to take more advanced programming courses. This course covers Python 3.

Python Data Structures
This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This course will cover Chapters 6-10 of the textbook "Python for Everybody". This course covers Python 3.

Using Python to Access Web Data
This course will show how one can treat the Internet as a source of data. We will scrape, parse, and read web data as well as access data using web APIs. We will work with HTML, XML, and JSON data formats in Python. This course will cover Chapters 11-13 of the textbook "Python for Everybody". To succeed in this course, you should be familiar with the material covered in Chapters 1-10 of the textbook and the first two courses in this specialization. These topics include variables and expressions, conditional execution (loops, branching, and try/except), functions, Python data structures (strings, lists, dictionaries, and tuples), and manipulating files. This course covers Python 3.

Using Databases with Python
This course will introduce students to the basics of the Structured Query Language (SQL) as well as basic database design for storing data as part of a multi-step data gathering, analysis, and processing effort. The course will use SQLite3 as its database. We will also build web crawlers and multi-step data gathering and visualization processes. We will use the D3.js library to do basic data visualization. This course will cover Chapters 14-15 of the book "Python for Everybody". To succeed in this course, you should be familiar with the material covered in Chapters 1-13 of the textbook and the first three courses in this specialization. This course covers Python 3.

Capstone: Retrieving, Processing, and Visualizing Data with Python
In the capstone, students will build a series of applications to retrieve, process and visualize data using Python. The projects will involve all the elements of the specialization. In the first part of the capstone, students will do some visualizations to become familiar with the technologies in use and then will pursue their own project to visualize some other data that they have or can find. Chapters 15 and 16 from the book "Python for Everybody" will serve as the backbone for the capstone. This course covers Python 3.

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/4b18159477fc54e5fdf7d8a38042faf2/2p2x5.Coursera..Python.for.Everybody.Specialization.by.University.of.Michigan.part1.rar.html
https://rapidgator.net/file/8325fdc8cdfd8dfeaa87adf4798477c0/2p2x5.Coursera..Python.for.Everybody.Specialization.by.University.of.Michigan.part2.rar.html
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Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 27.04.2020, 08:18

How can we create agile micro aerial vehicles that are able to operate autonomously in cluttered indoor and outdoor environments? You will gain an introduction to the mechanics of flight and the design of quadrotor flying robots and will be able to develop dynamic models, derive controllers, and synthesize planners for operating in three dimensional environments.

You will be exposed to the challenges of using noisy sensors for localization and maneuvering in complex, three-dimensional environments. Finally, you will gain insights through seeing real world examples of the possible applications and challenges for the rapidly-growing drone industry.

Mathematical prerequisites: Students taking this course are expected to have some familiarity with linear algebra, single variable calculus, and differential equations.

Programming prerequisites: Some experience programming with MATLAB or Octave is recommended (we will use MATLAB in this course.) MATLAB will require the use of a 64-bit computer.

Syllabus

Introduction to Aerial Robotics
-Welcome to Week 1! In this week, you will be introduced to the exciting field of Unmanned Aerial Robotics (UAVs) and quadrotors in particular. You will learn about their basic mechanics and control strategies and realize how careful component selection and design affect the vehicles' performance. This week also provides you with instructions on how to download and install Matlab. This software will be used throughout this course in exercises and assignments, so it is strongly recommended to familiarize yourself with Matlab soon. Tutorials to help you get started are also provided in this week.

Geometry and Mechanics
-Welcome to Week 2 of the Robotics: Aerial Robotics course! We hope you are having a good time and learning a lot already! In this week, we will first focus on the kinematics of quadrotors. Then, you will learn how to derive the dynamic equations of motion for quadrotors. To build a better understanding on these notions, some essential mathematical tools are discussed in supplementary material lectures. In this week, you will also complete your first programming assignment on 1-D quadrotor control. If you have not done so already, please download, install, and learn about Matlab before starting the assignment.

Planning and Control
-Welcome to Week 3! We have developed planar and three-dimensional dynamic models of the quadrotor. This week, you will learn more about how to develop linear controllers for these models. With this knowledge, you will be required to complete the second programming assignment of this course, which focuses on controlling the quadrotor in two dimensions. We encourage you to start working on the assignment soon. This week ends with a discussion on motion planning for quadrotors.

Advanced Topics
-Welcome to Week 4! So far, we have gone over the basics of developing linear controllers for quadrotors and motion planning. In this last week of the course, we will discuss some more advanced material on how to enable quadrotors to perform more agile maneuvers and to operate autonomously in teams. Note that the last programming assignment on quadrotor control in three dimensions uses material from the previous weeks. It is strongly recommended to start the assignment as soon as possible.

General
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Download link:

Код:

rapidgator_net:
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Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 27.04.2020, 08:21

This introductory virology course emphasizes the common reactions that must be completed by all viruses for successful reproduction within a host cell and survival and spread within a host population. The molecular basis of alternative reproductive cycles are presented with examples drawn from a set of representative animal and human viruses, although selected bacterial viruses will be discussed.

Syllabus

Week 1
Welcome to virology
What is a virus?
Viruses then and now

Week 2
The infectious cycle
Assay of viral infectivity
Measurement of virions and their components
Revolutionary methods
One-step growth cycle

Week 3
The Baltimore scheme
DNA virus genomes
RNA virus genomes
Viral genetics

Week 4
Structure
The tools of structural virology
Helical symmetry
Icosahedral symmetry
Enveloped virions
Complex virions

Week 5
Attachment to cells
Entry into cells
Acid-catalyzed fusion
A new paradigm for entry
Entry of non-enveloped virions
Entering the nucleus

Week 6
Viral RNA synthesis
RNA polymerization
Plus strand RNA synthesis
Negative strand RNA synthesis
RNA synthesis of dsRNA genomes
RNA synthesis as a source of diversity

Week 7
DNA basics
Lessons from SV40
Priming via DNA or protein
Viral origins
Big DNA viruses
Regulation of DNA synthesis

Week 8
Transcription
Initiation of transcription
Viral transcription regulation
Capping and polyadenylation
Pre-mRNA splicing

Week 9
Reverse transcriptase
Retroviruses
Reverse transcription
Integration
The provirus
Hepatitis B virus

Week 10
End-dependent initiation of protein synthesis
Other decoding mechanisms
One mRNA, one protein?
Maximizing coding capacity of the viral genome
Regulation of translation: eIF2alpha
How viruses regulate cell translation
MicroRNAs

Week 11
Principles of virion assembly
Getting to the right place
Making sub-assemblies
Concerted assembly: Budding
Genome packaging
Acquisition of an envelope and egress

General
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Screenshots

Download link:

Код:

rapidgator_net:
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Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 27.04.2020, 08:23

Creating After Effects Templates
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 39m | 257 MB
Instructor: Nick Harauz

Learn how to automate your motion graphics workflow-and package your designs for distribution-by building projects procedurally through After Effects templates. After Effects has a complete toolset for creating intelligent, time-saving templates that you can reuse, share, and even sell online. In this course, veteran instructor Nick Harauz takes you through the ins and outs of creating .mogrt templates via the After Effects Essential Graphics panel. Learn how to previsualize templates, add and reveal design parameters, use expressions, export your templates, and test them in Premiere Pro. Nick also explains the things you should consider before selling your mograph templates on a platform like Adobe Stock.

Topics include:

Planning a template
Adding and linking parameters
Using expressions
Exporting and testing templates
Creating an animated multi-title template
Linking source text layers
CSV files and templates
Submitting templates to Adobe Stock

Download link:

Код:

rapidgator_net:
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nitroflare_com:
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uploadgig_com:
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Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 27.04.2020, 08:24

IObit Uninstaller Pro 9.4.0.20 Multilingual | 22.2 Mb

Integrated with up to date uninstall technology, IObit Uninstaller helps you remove unneeded programs easily even when Windows "Add or Remove Programs" fails. Besides removing unwanted applications, it also scans and removes leftovers easily. The most attractive part is that it makes a restore image before every uninstallation. With the new added Toolbars Uninstallation Module, IObit Uninstaller helps you remove unwanted toolbars thoroughly.

Cleaner & More Stable PC
As time going on, your PC will easily become slow after piling up too many leftovers in registry after general uninstallation. But now users can remove the programs and all leftovers quickly by just 1 click in IObit Uninstaller 5; and get a cleaner, faster and more stable PC. Additionally, IObit Uninstaller 5 can also remove programs and pre-installed apps in Windows 10.

Faster & Safer Browsing
Some malicious plug-ins, toolbar and unwanted injected programs will be installed into browsers without any notice, which will frustrate you by slowing down your surfing speed and annoying ads pop-ups. The improved Toolbar & Plug-in removal will monitor and remove all these useless programs and give you fast and clean online surfing experience. And the newly enhanced Chrome plug-ins removal can remove the plug-ins not installed via Chrome store.

Powerful & Safe Uninstallation
Many stubborn programs cannot be uninstalled or uninstalled completely in an easy way. IObit Uninstaller 5 can powerfully remove them and delete all the leftovers, including the registry and file directory of some stubborn antivirus programs. IObit Uninstaller 5 will continue the unfinished uninstall process caused by system reboot; and it also can create a system restore point before every uninstallation in case of unexpected happens.

More Powerful Tools
Sometimes users will forget to remove the leftovers after uninstallation, and the new tools in IObit Uninstaller 5 can help them continuing powerful scan for the programs in the uninstall history, as well as cleaning other useless update/install package and invalid shortcuts etc. Download IObit Uninstaller 5, and you can even easily find the basic Windows Tools in it.

Operating System: Windows 7, 8/8.1, 10

Home Page - [Ссылки доступны только зарегистрированным пользователям . Регистрируйся тут...]

Download link:

Код:

rapidgator_net:
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Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 27.04.2020, 09:08

Acon Digital Equalize 2.0.29 | 12.5 Mb

Acon Digital Equalize is a parametric equalizer plug-in that combines unique features with excellent workflow and an intuitive user interface. Unlike other equalizers, you can freely adjust not only center frequency, gain and bandwidths, but also the filter slope for each band. The filter slope can be set anywhere from 3 dB to ultra-sharp 120 dB per octave.

Needless to say, you can operate Equalize as a zero latency plug-in when using the minimum phase mode or choose to preserve the phase relationships in the linear phase mode. Equalize goes one step further, though, and introduces the unique mixed phase mode that allows you to set the latency freely in the range 5 to 120 milliseconds while preserving the phase relationships as far as possible. That gives a unique control over potential pre-ringing artifacts which is a common problem with linear phase filtering. Latency values below 20 milliseconds ensure that any pre-ringing is masked by the temporal masking of the human hearing while preserving the time-alignment across the audible frequency range.

Great care has been taken to provide a user interface that is straight forward to use. Band parameters can be adjusted using handles directly in the graphical representation of the frequency response, including bandwidths and filter slopes. A flexible real-time analyzer lets you monitor every aspect of the processing. You can easily switch between full, mid, side, left or right channel processing for each band and Equalize automatically routes the audio signal internally to ensure the best results and lowest possible latency.

Highlights
Eight different band filter types - low cut, low shelf, peak, tilt, bandpass, notch, high shelf and high cut
Up to twelve independent bands
Freely adjustable gain, frequency, bandwidth, resonance and filter slope
Three different phase modes, including the novel mixed phase mode with adjustable latency
Choose channel mode for each band independently (mid, side, left, right or full processing)

Platforms and Plug-in Formats
Available as VST, VST3 or AAX plug-ins on PC (Windows)
Available as VST, VST3, AAX or AU plug-ins on Apple Macintosh (OS X)
Native 32 bit or 64 bit versions of all plug-ins are available
Supports sampling rates up to 96 kHz
Supports multi-channel formats such as 5.1 and 7.1 surround

Acon Digital Equalize
Up to twelve equalizer bands
Eight different band filter types (low cut, low shelf, peak, tilt, bandpass, notch, high shelf and high cut)
Band frequency, gain, bandwidth, resonance and filter slope is freely adjustable for each band
Three different filter modes, minimum phase, linear phase or the novel mixed phase
Adjustable latency and pre-ringing time in mixed phase mode
Zero latency in minimum phase mode
Channel mode (mid, side, left, right or full processing) can be set independently for each band
Multiple selection of bands
Resizable graphical user interface
Solo and bypass modes
Optional automatic make-up gain
Optional gain to bandwidth linking
Two spectrum analyzers that can analyze the input or output signal from the mid, side, left or right channel
Graphical visualization of the equalizer frequency response
Preset manager and a large number of factory presets
Save, load and categorize user presets

System requirements:
A Pentium IV or higher
Minimum 256 MB RAM (1 GB recommended)
Windows 10, 8 or 7
A host application that is compatible with VST, VST3 or AAX (Pro Tools 10.3.5 or higher)

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Код:

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mitsumi1 · 27.04.2020, 09:09

Allavsoft Video Downloader Converter 3.22.4.7420 | macOS | 55 mb

This powerful Video Downloader supports downloading movies, music videos, playlist, sport videos, lectures and more from free video sharing website like Facebook, Dailymotion, eHow, and more than 100 video sharing sites.

This powerful Video Downloader supports downloading movies, music videos, playlist, sport videos, lectures and more from free video sharing website like Facebook, Dailymotion, eHow, and more than 100 video sharing sites. Besides downloading video in its original format, Allavsoft also features one-click to download as well as convert the downloaded video to popular video format like MP4, AVI, WMV, MOV, MPEG-1, MPEG-2, VOB, ASF, RMVB, DV, TS, Apple ProRes, WebM, FLV, OGV and etc.

Features
- Download free video to MP4, MOV, Apple ProRes, AVI, WMV, MPG, DV, VOB, MKV.
- Download video to MP3, Apple Lossless, M4A, WAV, AC3, AAC, WMA, AIFF.
- Download and convert F4F, FLV, F4V, F4M, WebM to play on Mac, iTunes, QuickTime, iPad, iPhone, iPod, Apple TV, iMovie, Final Cut Pro and etc.
- Download free video and audio from Dailymotion, eHow, Yahoo Video, and other video sharing websites.
- Download videos in HTML5, HD 1080p/720p, 4K 4096p, 3D or SD.

Compatibility: OS X 10.9 or later 64-bit
Homepage: [Ссылки доступны только зарегистрированным пользователям . Регистрируйся тут...]

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/bfb89a9d7327ee786da1b7e11a3a573f/qgtyc.Allavsoft.Video.Downloader.Converter.3.22.4.7420.rar.html

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