All mitsumi'1s Applications !! (updated daily) - Страница 1948

mitsumi1 · 27.04.2020, 11:59

Tipard DVD Creator 5.2.32 Multilingual | 57 Mb

Tipard DVD Creator is a newly released DVD-making software product, which can help users create customized DVD disc, DVD folder or ISO file with one or multiple single video source files. Plus, users are allowed to DIY DVD Play Menu with various menu templates and other diverse setting options. Also, users are allowed to add or edit audio tracks and subtitles. In a word, this is a powerful and user-friendly DVD maker to create any DVD file in your mark.

Key features:
- Create DVD disc, DVD folder or ISO file.
- DIY DVD play menu with multiple options.
- Add or edit any audio tracks to get perfect audio effect.
- Import or adjust current and other subtitles.

OS Supported: Windows XP (SP2 or later), Windows Vista, Windows 7, Windows 8, Windows 10

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

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/1bbc71a4d325097ee99f58ee8bdafdbe/r5z65.Tipard.DVD.Creator.5.2.32.Multilingual.rar.html

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

mitsumi1 · 27.04.2020, 12:00

Visual Subst 3.5 Multilingual | 4.8 Mb

Visual Subst is a handy utility which allows you to associate the most accessed directories with virtual drives. It solves 3 main issues with the built-in 'subst' command: it seamlessly creates drives for elevated applications, adds editable drive labels and restores virtual drives after reboots. Also, Visual Subst makes it easier to create, edit and remove virtual drives in a GUI way.

You can use virtual drives everywhere - it's so much easier to access files in a project directory you are currently working on using just a single drive letter. Visual Subst provides you with a clean, simple and distraction-free user interface where you can manage all your virtual drives at any time.

Operating System: Windows Vista, 7, 8/8.1, 10

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

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/2e824645c6bf86c0dbe98ec8c340f613/gidiu.Visual.Subst.3.5.Multilingual.rar.html

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

mitsumi1 · 27.04.2020, 12:02

WinZip Privacy Protector 3.9.9 Multilingual | 12.7 Mb

Privacy Protector scans your entire PC looking for hidden traces of your private information and personal online activities that can be exposed to hackers. Privacy Protector will help you safely remove these traces so you can keep your privacy secure.

Keep your personal information and internet activities private.
* Protect yourself from cyber criminals
* Erase your online tracks
* Defend your personal and financial information

Ultimate Privacy
Privacy Protector scans your drives to find privacy issues before hackers can. It scans for sensitive information like phone numbers, email, passwords and saved credit card information that have been stored on your computer that you may not know about. You can choose which personal information to delete and which information needs attention.

Powerful Protection
Privacy Protector will perform a deep sweep of your browser and find undesirable cookies that threaten your privacy and potentially expose your personal information to cyber criminals. You decide which website history, passwords, and usernames to delete. Cover your tracks and protect yourself from aggressive and malicious advertisers that want to jeopardize your privacy.

Full Control
Set Privacy Protector to start when your computer does for round-the-clock protection. Customize the scan to check certain areas of your hard drive or let it scan everything for ultimate protection. You decide the perfect privacy protection plan to help wipe out your digital footprint on the Internet.

Trusted and Recommended
WinZip products have been awarded the highest of accolades from industry experts. You can rest easy knowing your PC is in safe hands with Privacy Protector.

Operating System:
Windows® 10, Windows® 8 / 8.1, Windows® 7

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

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/9cbff020f7f59659b059990eb70ea28b/o8ia9.WinZip.Privacy.Protector.3.9.9.rar.html

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

mitsumi1 · 27.04.2020, 12:03

Wireless Power to the People - Wireless Charging 101
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 257 MB
Genre: eLearning Video | Duration: 19 lectures (1 hour, 14 mins) | Language: English
An introduction to the world of modern wireless power electronics with practical engineering demo circuits.

What you'll learn

Learn the various wireless power methods in research and development today (including a few that are scams!)
Learn the pros and cons of all the different wireless power methods and the ONE technology mature enough for mainstream consumer use
Understand electromagnetic induction
Intuitively understand resonance and LC resonant circuits
Understand inductive coupling and resonant power transfer
Build a circuit that can wirelessly power a small fan
Build a wireless power circuit that can power an LED 15cm away
Build a wireless power circuit that can power LEDs, electric motors and more 30cm away
Understand "the skin effect" and how to mitigate it
Understand the main components of modern commercial wireless charging systems (with emphasis on Qi)
Understand how data communication works in Qi wireless power systems
Use off the shelf hardware to wirelessly charge phones, Playstation controllers and other USB devices
Use off the shelf hardware to wirelessly power any electronic device up to 4 watts

Requirements

Basic knowledge of electricity, resistors, capacitors, inductors, transistors, breadboards
Basic knowledge of schematic reading, function generators and oscilloscopes if you want to recreate some of the experiments yourself
The bill of materials is US$11 if you would like to replicate the experiments at home

Description

Welcome to Wireless Power to the People, the course that brings wireless power to the masses. In this course you're going to learn the basics of the different types of wireless power being researched and developed today. Spoiler alert: Some of them work a lot better than others!

You're going to start out by learning the basics of magnetic induction. Then I will show you the power of resonance. Soon you're going to learn how to build a simple wireless powered LED. Things are really going to get interesting when you learn how to increase the power and range of the system, and wirelessly power LEDs, motors, fans and more up to 30cm away! And for the final project we're going to upgrade USB powered devices to be charged with wireless power.

If you have ever wondered how wireless charging works, this course is for you.

In the media we've seen countless stories of wireless charging using radio waves, vibration and more. Yet we still haven't seen these devices appearing in our homes. Millions of dollars in venture capital have been burned because investors did not fundamentally understand the various technologies used in wireless power.

In this course I'm going to cut through all the hype and explain the different types of wireless power being researched today... the pros and cons of each, which ones are viable, which ones are not, and why. Best of all, you will not need a PhD in physics to understand what is going on. Math in this course will be kept to a minimum, and the focus will be on developing an intuitive, visual understanding of the concepts involved.

During the course I am going to be showing you some wireless charging experiments that will require a power supply, an oscilloscope, and a few electronic components. If you don't have these things and you don't feel comfortable building circuits, don't worry. You'll still have a ton of fun just watching the demonstrations and you'll be able to understand the magic behind wireless power. By the end of the course you will know how to wirelessly power any electronic device up to 4 watts! The basic principles taught in this course will scale to higher power levels if you choose to continue work in this field.

If you've ever wondered how a Samsung phone charges, this course is for you. If you have ever wondered how iPhone X and Apple Watch charging works, this course is for you. If you are a student or junior engineer who is looking to get up to speed on practical solutions to wireless power problems this course is for you. And if you're someone who is thinking of investing money in a crowdfunded wireless power project, do not spend a dime until you have watched this course!

Thank you for watching, and I hope to be teaching you soon!

Who this course is for:

Anyone who wants to understand the magic behind wireless power technology
Science and engineering students
Technicians and junior engineers
Investors looking to invest in wireless power projects
Technophiles and gadget lovers

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/9ff212d83424631dfcba0a27e21e1ce4/h2k97.Wireless.Power.to.the.People..Wireless.Charging.101.rar.html

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

mitsumi1 · 27.04.2020, 14:01

AnyMP4 Blu-ray Ripper 8.0.10 Multilingual | 123.6 Mb

Blu-ray disc has the large storage to allow us to store high-definition movie, movie menus, graphics and special features. Thus, Blu-ray movie is much more popular than ever, and we prefer to watch Blu-ray movie stay at home rather than go to cinema and save time.

To save Blu-ray disc on the local hard disk or other portable device and to look comfortable, AnyMP4 Blu-ray Ripper offers a simple solution. The software is a multifunctional Blu-ray Converter, and can convert Blu-ray to various video and audio formats, such as MP4, AVI, WMV, MKV, FLV, and SWF as well as rip Blu-ray to 4K/1080p videos. The Blu-ray Ripper offers perfect sound and picture quality.

Convert Blu-ray to 2D/3D videos
With this powerful Blu-ray Ripper, you can rip Blu-ray (2D/3D) to 2D video and even 3D video with unparalleled speed and quality. The software offers five 3D modes: Anaglyph (Red/Cyan), Side-by-Side (Full/Half-Picture), Top/Bottom (Full/Half Picture).
It owns the ability to convert Blu-ray (2D/3D) to video and audio like MP4, MKV, AVI, WMV, FLV, MOV, VOB, DivX, MPEG, MP3, FLAC, ALAC, M4A, and more, and even HD videos like HD MP4, HD MKV, HD MOV. At the same time, it features a new function of ripping Blu-ray to 3D video formats with super high converting speed and excellent output quality.

Rip Blu-ray movie for playback on digital device
If you want to watch your Blu-ray movies on your smartphone or tablet, the Blu-ray Ripper can help you. The software has many predefined profiles for popular digital devices such as iPhone (iPhone X/8/7/6s/6/SE), iPad (iPad Pro/Air/mini 4), iPod touch, Samsung Galaxy Tab, Surface, Google Nexus, HTC, Nokia Lumia, Motorola, Xbox 360, Wii, PS3, PSP, and more. This software allows you to conveniently rip your Blu-ray movies for the desired device, and then watch them wuth high quality.

Edit video and enhance video quality before ripping
Before conversion, the Blu-ray Ripper provides that some parameters can be set for the selected video format. The video resolution, video bitrate, framerate, video encoder, audio channels, sample rate, audio encoder and audio bitrate can be customized to your requirements. And it helps you crop video frame to remove the black edges; adjust the video effect like Brightness, Saturation, Contrast, and Hue; add text/image watermark to the video; and rotate video position. Also adjusting the audio volume is available in editing window. And you can clip one or more segments from a Blu-ray movie.

Easy to use Blu-ray Ripping and intuitive interface
With the advanced acceleration technology, the software offers you faster speed than other Blu-ray ripper software. With the unique design and intuitive interface, you can finish all the ripping processes only in a few clicks. And it supports the upgrade automically, once connected to the Internet, the software will automatically detect if there are new upgrades available. Moreover, adopting the newest accelerating technology, AMD APP and NVIDIA® CUDA™ acceleration, this Blu-ray Ripper would provide 6x faster speed than before.

System requirements:
Supported systems: Windows 10, Windows 8/8.1, Windows 7, Windows Vista, Windows XP (SP2 or later)
RAM: 2 GB RAM or more recommended
CPU: Intel® Core ™ 2 Duo Processor or AMD Athlon ™ processor, 2 GHz or faster processor

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

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/92931f14e8370072d917ab44f7b91d2e/ts3mv.AnyMP4.Bluray.Ripper.8.0.10.Multilingual.rar.html

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

mitsumi1 · 27.04.2020, 14:02

AnyMP4 DVD Ripper 8.0.8 Multilingual | 132.8 Mb

Do you want to save a DVD movie to PC local drive? DVD disc could be easily damaged and is not very convenient to play DVD disc anytime and anywhere. So you are recommended to rip DVD to video for playback on any digital device like iPhone/iPad/iPod, Samsung, LG, HTC and more. AnyMP4 DVD Ripper, a powerful DVD Ripping software, helps you rip DVD movie into a variety of popular video and audio formats.

You can convert DVD to MP4, MKV, AVI, MOV, WMV, FLV, M4V, TS, DivX, WebM, 3GP and other 4K/1080p/720p video formats with ease and than save DVD to computer for backup. In addition, AnyMP4 DVD Ripper can help you extract audio track from DVD and convert it to your preferred audio format like MP3, WAV, WMA, AAC, M4A, ALAC, FLAC, OGG, and more.

Rip DVD disc for playback on iOS/Android device
This DVD Ripper software is designed with many pre-defined output profiles. It highly supports most portable iOS and Android devices, such as iPhone X/8/7 Plus/7/6s Plus/6s/6 Plus/6/5s/5c/SE, iPad Pro/Air 2/mini 4, iPod touch, Samsung Galaxy 7/6/5, LG G5, Sony, HTC, Moto, Xiaomi, HUAWEI, Microsoft Surface Book, Xbox 360, PS3, Wii and others. It allows you to easily view DVD movies on your smart phone or tablet. Whether the DVD is copy-protected or self-burned, you can use this DVD Ripper to rip the movie for your digital devices.

Edit DVD and adjust video effects
The professional DVD Ripper is equipped with many useful editing features to help you customize video effects before ripping the DVD. For instance, you can rotate video position, cut the video length to only save the necessary part, crop video to remove the black edge, add personal text and image watermark, adjust output video effects like brightness, contrast, saturation and hue. If you need all DVD titles like trailer, behind-the-scenes, you can merge various parts into one new video.

Super fast DVD ripping speed and high quality
Thanks to the latest hardware acceleration technology, AnyMP4 DVD Ripper gives you a super-fast DVD ripping speed. It can rip DVD to HD video format like MP4, MOV, MKV, AVI, WebM, TS and more. After ripping, you can enjoy the fantastic image and sound quality. In profile settings, you are allowed to set parameters, such as video codec, resolution, bitrate, frame rate, audio codec, audio channels, and so on.

Easy-to-use and best user experience
With a concise user interface, you can rip DVD to video in just few clicks. If the original DVD contains multiple audio tracks and subtitles, this DVD Ripper will show you all audio tracks and subtitles. Then you can select your preferred audio track and subtitle for the output video. The built-in player helps you preview the DVD before ripping. Then you can quickly check the desired titles of the DVD. After editing the video, you can watch the video effects in real-time in the preview window.

System requirements:
Supported system: Windows 10, Windows 8/8.1, Windows 7, Windows Vista, Windows XP (SP2 or later)
RAM: 2 GB RAM or more recommended
CPU: Intel® Core™ 2 Duo Processor or AMD Athlon™ Processor, 2 GHz or faster processor

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

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/4b5312c1aa481ddea903bda6d16415ca/dcqgt.AnyMP4.DVD.Ripper.8.0.8.Multilingual.rar.html

nitroflare_com:
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Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 27.04.2020, 14:04

AutoCAD 2015 - 2021 : Refresher's Crash Course program
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 3.73 GB
Genre: eLearning Video | Duration: 50 lectures (6 hour, 31 mins) | Language: English
A Course designed for students who want to MASTER the most used PRO features of AutoCAD 2015-2021 in a VERY SHORT TIME.

What you'll learn

You will gain a solid understanding of the most used features of AutoCAD by Pros.
Work independently on any drawing in AutoCAD 2015 to 2021 versions
Learn from an Author who is an Industrial Expert and mentor with Over 50 years of Experience
Make any complex drawing easily using a combination of tools as shown in Examples & Exercises

Requirements

Computer loaded with Autodesk AutoCAD 2013 and above versions
Course is for Windows Users but Mac Users are also most welcome

Description

This Course has a dedicated section on demo of AutoCAD 2015 to AutoCAD 2021 User interface which will enable students to work on any version of AutoCAD from 2015 - 2021 with confidence.

In this AutoCAD Crash Course program you will experience a unique successful method of teaching developed and experimented on 1000's of students in live sessions. This course is designed for individuals who are new to AutoCAD or the students who had learned AutoCAD long time ago and just want a brush up on the tools AutoCAD features quickly and use in their projects immediately.

This course introduces the tools of AutoCAD in a step by step process which will enable you to clearly understand the application of the tools under discussion before starting the next tool.

Who this course is for:

Beginners in AutoCAD who want to learn it quickly
Persons who knew AutoCAD earlier but have forgotten and want to refresh in short time
Anyone who communicates through technical drawings as a part of their study or work.

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/3503fb056140b6dea0bc51ddddc00d33/6yuq4.AutoCAD.2015..2021..Refreshers.Crash.Course.program.part1.rar.html
https://rapidgator.net/file/3b912b3544bd6e60d4e340c6ca8b5c99/6yuq4.AutoCAD.2015..2021..Refreshers.Crash.Course.program.part2.rar.html
https://rapidgator.net/file/3a7eaa0b0c6b64b369ff85ad2f419747/6yuq4.AutoCAD.2015..2021..Refreshers.Crash.Course.program.part3.rar.html
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nitroflare_com:
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uploadgig_com:
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http://uploadgig.com/file/download/5a69dD4ac95861fb/6yuq4.AutoCAD.2015..2021..Refreshers.Crash.Course.program.part4.rar

Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 27.04.2020, 14:06

Cloud Foundry Certified Developer
.MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 6h 5m | 2.07 GB
Instructor: Travis Thomsen

This course is designed for those who are seeking a career in DevOps. You will learn the ins and outs of Cloud Foundry. This will include the architecture and various components of Cloud Foundry, how to tailor your apps to ensure that they will run correctly when you execute a cf push, and how to write a manifest that will make your deploy process repeatable and predictable. You will also learn how to perform blue-green deployments of your apps already running in Cloud Foundry. Last but not least, this course will prepare you for taking the Cloud Foundry Certified Developer exam.

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/110f6380b0d7ba0fdff96a7ead94ad23/gm7q8.Cloud.Foundry.Certified.Developer.part1.rar.html
https://rapidgator.net/file/5f68d015464918bd889ce4097167585b/gm7q8.Cloud.Foundry.Certified.Developer.part2.rar.html
https://rapidgator.net/file/e1217281d254213dc2031922dd130463/gm7q8.Cloud.Foundry.Certified.Developer.part3.rar.html

nitroflare_com:
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https://nitroflare.com/view/D343D9359733CFB/gm7q8.Cloud.Foundry.Certified.Developer.part2.rar
https://nitroflare.com/view/7103E63C2128320/gm7q8.Cloud.Foundry.Certified.Developer.part3.rar

uploadgig_com:
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http://uploadgig.com/file/download/A9b23d7dd8ea801e/gm7q8.Cloud.Foundry.Certified.Developer.part2.rar
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Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 27.04.2020, 14:08

Coursera - Cloud Computing by University Of Illinois
Video: .mp4 (1280x720) | Audio: AAC, 44100 kHz, 2ch | Size: 11.2 Gb | Materials: PDF
Genre: eLearning Video | Duration: 53h 16m | Language: English
Clouds, Distributed Systems, Networking. Learn about and build distributed and networked systems for clouds and big data.

Cloud Computing Concepts, Part 1
Cloud computing systems today, whether open-source or used inside companies, are built using a common set of core techniques, algorithms, and design philosophies - all centered around distributed systems. Learn about such fundamental distributed computing "concepts" for cloud computing.

Some of these concepts include: clouds, MapReduce, key-value/NoSQL stores, classical distributed algorithms, widely-used distributed algorithms, scalability, trending areas, and much, much more! Know how these systems work from the inside out. Get your hands dirty using these concepts with provided homework exercises. In the programming assignments, implement some of these concepts in template code (programs) provided in the C++ programming language. Prior experience with C++ is required. The course also features interviews with leading researchers and managers, from both industry and academia.

Cloud Computing Concepts: Part 2
Cloud computing systems today, whether open-source or used inside companies, are built using a common set of core techniques, algorithms, and design philosophies - all centered around distributed systems. Learn about such fundamental distributed computing "concepts" for cloud computing.

Some of these concepts include: clouds, MapReduce, key-value/NoSQL stores, classical distributed algorithms, widely-used distributed algorithms, scalability, trending areas, and much, much more! Know how these systems work from the inside out. Get your hands dirty using these concepts with provided homework exercises. In the programming assignments, implement some of these concepts in template code (programs) provided in the C++ programming language. Prior experience with C++ is required. The course also features interviews with leading researchers and managers, from both industry and academia. This course builds on the material covered in the Cloud Computing Concepts, Part 1 course.

Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure
Welcome to the Cloud Computing Applications course, the first part of a two-course series designed to give you a comprehensive view on the world of Cloud Computing and Big Data!

In this first course we cover a multitude of technologies that comprise the modern concept of cloud computing. Cloud computing is an information technology revolution that has just started to impact many enterprise computing systems in major ways, and it will change the face of computing in the years to come. We start the first week by introducing some major concepts in cloud computing, the economics foundations of it and we introduce the concept of big data. We also cover the concept of software defined architectures, and how virtualization results in cloud infrastructure and how cloud service providers organize their offerings. In week two, we cover virtualization and containers with deeper focus, including lectures on Docker, JVM and Kubernates. We finish up week two by comparing the infrastructure as a service offering by the big three: Amazon, Google and Microsoft. Week three moves to higher level of cloud offering, including platform as a service, mobile backend as a service and even serverless architectures. We also talk about some of the cloud middleware technologies that are fundamental to cloud based applications such as RPC and REST, JSON and load balancing. Week three also covers metal as a service (MaaS), where physical machines are provisioned in a cloud environment. Week four introduces higher level cloud services with special focus on cloud storage services. We introduce Hive, HDFS and Ceph as pure Big Data Storage and file systems, and move on to cloud object storage systems, virtual hard drives and virtual archival storage options. As discussion on Dropbox cloud solution wraps up week 4 and the course.

Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud
Welcome to the Cloud Computing Applications course, the second part of a two-course series designed to give you a comprehensive view on the world of Cloud Computing and Big Data!

In this second course we continue Cloud Computing Applications by exploring how the Cloud opens up data analytics of huge volumes of data that are static or streamed at high velocity and represent an enormous variety of information. Cloud applications and data analytics represent a disruptive change in the ways that society is informed by, and uses information. We start the first week by introducing some major systems for data analysis including Spark and the major frameworks and distributions of analytics applications including Hortonworks, Cloudera, and MapR. By the middle of week one we introduce the HDFS distributed and robust file system that is used in many applications like Hadoop and finish week one by exploring the powerful MapReduce programming model and how distributed operating systems like YARN and Mesos support a flexible and scalable environment for Big Data analytics. In week two, our course introduces large scale data storage and the difficulties and problems of consensus in enormous stores that use quantities of processors, memories and disks. We discuss eventual consistency, ACID, and BASE and the consensus algorithms used in data centers including Paxos and Zookeeper. Our course presents Distributed Key-Value Stores and in memory databases like Redis used in data centers for performance. Next we present NOSQL Databases. We visit HBase, the scalable, low latency database that supports database operations in applications that use Hadoop. Then again we show how Spark SQL can program SQL queries on huge data. We finish up week two with a presentation on Distributed Publish/Subscribe systems using Kafka, a distributed log messaging system that is finding wide use in connecting Big Data and streaming applications together to form complex systems. Week three moves to fast data real-time streaming and introduces Storm technology that is used widely in industries such as Yahoo. We continue with Spark Streaming, Lambda and Kappa architectures, and a presentation of the Streaming Ecosystem. Week four focuses on Graph Processing, Machine Learning, and Deep Learning. We introduce the ideas of graph processing and present Pregel, Giraph, and Spark GraphX. Then we move to machine learning with examples from Mahout and Spark. Kmeans, Naive Bayes, and fpm are given as examples. Spark ML and Mllib continue the theme of programmability and application construction. The last topic we cover in week four introduces Deep Learning technologies including Theano, Tensor Flow, CNTK, MXnet, and Caffe on Spark.

Cloud Networking
In the cloud networking course, we will see what the network needs to do to enable cloud computing. We will explore current practice by talking to leading industry experts, as well as looking into interesting new research that might shape the cloud network's future.

This course will allow us to explore in-depth the challenges for cloud networking-how do we build a network infrastructure that provides the agility to deploy virtual networks on a shared infrastructure, that enables both efficient transfer of big data and low latency communication, and that enables applications to be federated across countries and continents? Examining how these objectives are met will set the stage for the rest of the course. This course places an emphasis on both operations and design rationale-i.e., how things work and why they were designed this way. We're excited to start the course with you and take a look inside what has become the critical communications infrastructure for many applications today.

Cloud Computing Project
This six-week long Project course of the Cloud Computing Specialization will allow you to apply the learned theories and techniques for cloud computing from the previous courses in the Specialization, including Cloud Computing Concepts, Part 1, Cloud Computing Concepts, Part 2, Cloud Computing Applications, Part 1, Cloud Computing Concepts, Part 2, and Cloud Networking.

Download link:

Код:

rapidgator_net:
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Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 27.04.2020, 14:09

Financial Engineering is a multidisciplinary field drawing from finance and economics, mathematics, statistics, engineering and computational methods. The emphasis of FE & RM Part I will be on the use of simple stochastic models to price derivative securities in various asset classes including equities, fixed income, credit and mortgage-backed securities.

We will also consider the role that some of these asset classes played during the financial crisis. A notable feature of this course will be an interview module with Emanuel Derman, the renowned ``quant'' and best-selling author of "My Life as a Quant".

We hope that students who complete the course will begin to understand the "rocket science" behind financial engineering but perhaps more importantly, we hope they will also understand the limitations of this theory in practice and why financial models should always be treated with a healthy degree of skepticism. The follow-on course FE & RM Part II will continue to develop derivatives pricing models but it will also focus on asset allocation and portfolio optimization as well as other applications of financial engineering such as real options, commodity and energy derivatives and algorithmic trading.

Syllabus

Course Overview
-An introduction to the course.

Introduction to Basic Fixed Income Securities
-Review of interest and basic fixed income securities; introduction to arbitrage pricing.

Introduction to Derivative Securities
-The mechanics of forwards, futures, swaps and options. Option pricing in the 1-period binomial model.

Option Pricing in the Multi-Period Binomial Model
-Derivatives pricing in the binomial model including European and American options; handling dividends; pricing forwards and futures; convergence of the binomial model to Black-Scholes.

Term Structure Models I
-Binomial lattice models of the short-rate; pricing fixed income derivative securities including caps, floors swaps and swaptions; the forward equations and elementary securities.

Term Structure Models II and Introduction to Credit Derivatives
-Calibration of term-structure models; the Black-Derman-Toy and Ho-Lee models. Limitations of term-structure models and derivatives pricing models in general. Introduction to credit-default swaps (CDS) and the pricing of CDS and defaultable bonds.

Introduction to Mortgage Mathematics and Mortgage-Backed Securities
-Basic mortgage mathematics; mechanics of mortgage-backed securities (MBS) including pass-throughs, principal-only and interest-only securities, and CMOs; pricing of MBS; MBS and the financial crisis.

Background Material

General
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Screenshots

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/ade87d205b960f40d0e443c3327cbfd1/6t68s.Coursera..Financial.Engineering.and.Risk.Management.Part.I.Columbia.University.rar.html

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

mitsumi1 · 27.04.2020, 14:11

If you want to break into competitive data science, then this course is for you! Participating in predictive modelling competitions can help you gain practical experience, improve and harness your data modelling skills in various domains such as credit, insurance, marketing, natural language processing, sales' forecasting and computer vision to name a few.

At the same time you get to do it in a competitive context against thousands of participants where each one tries to build the most predictive algorithm. Pushing each other to the limit can result in better performance and smaller prediction errors. Being able to achieve high ranks consistently can help you accelerate your career in data science.

In this course, you will learn to analyse and solve competitively such predictive modelling tasks.

When you finish this class, you will:

- Understand how to solve predictive modelling competitions efficiently and learn which of the skills obtained can be applicable to real-world tasks.
- Learn how to preprocess the data and generate new features from various sources such as text and images.
- Be taught advanced feature engineering techniques like generating mean-encodings, using aggregated statistical measures or finding nearest neighbors as a means to improve your predictions.
- Be able to form reliable cross validation methodologies that help you benchmark your solutions and avoid overfitting or underfitting when tested with unobserved (test) data.
- Gain experience of analysing and interpreting the data. You will become aware of inconsistencies, high noise levels, errors and other data-related issues such as leakages and you will learn how to overcome them.
- Acquire knowledge of different algorithms and learn how to efficiently tune their hyperparameters and achieve top performance.
- Master the art of combining different machine learning models and learn how to ensemble.
- Get exposed to past (winning) solutions and codes and learn how to read them.

Disclaimer : This is not a machine learning course in the general sense. This course will teach you how to get high-rank solutions against thousands of competitors with focus on practical usage of machine learning methods rather than the theoretical underpinnings behind them.

Prerequisites:
- Python: work with DataFrames in pandas, Description figures in matDescriptionlib, import and train models from scikit-learn, XGBoost, LightGBM.
- Machine Learning: basic understanding of linear models, K-NN, random forest, gradient boosting and neural networks.

Syllabus

Introduction & Recap
-This week we will introduce you to competitive data science. You will learn about competitions' mechanics, the difference between competitions and a real life data science, hardware and software that people usually use in competitions. We will also briefly recap major ML models frequently used in competitions.

Feature Preprocessing and Generation with Respect to Models
-In this module we will summarize approaches to work with features: preprocessing, generation and extraction. We will see, that the choice of the machine learning model impacts both preprocessing we apply to the features and our approach to generation of new ones. We will also discuss feature extraction from text with Bag Of Words and Word2vec, and feature extraction from images with Convolution Neural Networks.

Final Project Description
-This is just a reminder, that the final project in this course is better to start soon! The final project is in fact a competition, in this module you can find an information about it.

Exploratory Data Analysis
-We will start this week with Exploratory Data Analysis (EDA). It is a very broad and exciting topic and an essential component of solving process. Besides regular videos you will find a walk through EDA process for Springleaf competition data and an example of prolific EDA for NumerAI competition with extraordinary findings.

Validation
-In this module we will discuss various validation strategies. We will see that the strategy we choose depends on the competition setup and that correct validation scheme is one of the bricks for any winning solution.

Data Leakages
-Finally, in this module we will cover something very unique to data science competitions. That is, we will see examples how it is sometimes possible to get a top position in a competition with a very little machine learning, just by exploiting a data leakage.

Metrics Optimization
-This week we will first study another component of the competitions: the evaluation metrics. We will recap the most prominent ones and then see, how we can efficiently optimize a metric given in a competition.

Advanced Feature Engineering I
-In this module we will study a very powerful technique for feature generation. It has a lot of names, but here we call it "mean encodings". We will see the intuition behind them, how to construct them, regularize and extend them.

Hyperparameter Optimization
-In this module we will talk about hyperparameter optimization process. We will also have a special video with practical tips and tricks, recorded by four instructors.

Advanced feature engineering II
-In this module we will learn about a few more advanced feature engineering techniques.

Ensembling
-Nowadays it is hard to find a competition won by a single model! Every winning solution incorporates ensembles of models. In this module we will talk about the main ensembling techniques in general, and, of course, how it is better to ensemble the models in practice.

Competitions go through
-For the 5th week we've prepared for you several "walk-through" videos. In these videos we discuss solutions to competitions we took prizes at. The video content is quite short this week to let you spend more time on the final project. Good luck!

Final Project
-Final project for the course.

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Код:

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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, 14:12

The concepts and use of project management tools, techniques and methodologies are becoming all pervasive. This course addresses project management in the context of IT projects, including software projects.

Using the framework of project life cycle, the course covers various aspects pertaining to (i) project initiation, (ii) project planning and scheduling, (iii) project monitoring and control, and (iv) project termination. For planning and scheduling of projects, the use of project network and estimation of time and cost are covered in detail. Scheduling of projects with resource limitations is covered next.

Risk assessment methods including simulation and risk reduction approaches are also be covered. The students will be required to use the software @risk to simulate project completion times. The use of Earned Value Analysis for Project Monitoring and Control is emphasized. For Software Project Management, the Waterfall Model and Agile Project Management are covered in detail.

Syllabus

Introduction and Real Options
-The first topic in this module is Introduction and Overview of the course. We first define what a project is and give some examples of IT projects. The three parameters or metrics for project management are presented. The importance of project management is then discussed. The concept of project life cycle and the four phases of project life cycle are presented. The topics to be covered in the four different modules are also given.The second topic in this module is on the Organization Structure for projects. Three different forms of Organization structure and their implications for project management including the project manager are discussed in detail. Communication plan and its importance for project management are then presented.The next topic in this module is about the use of real options for project selection. The material in this topic is well developed for valuation of financial assets but its use for project selection is a relatively new development. We define what options are and give a taxonomy of real options. In future, 'Options Thinking" and valuation of real options are expected to play an important role in project selection. Next, we discuss six case studies where options thinking played a dominant role in accepting / modifying the projects. Valuation of real options is in its infancy and for the for valuation of real options is easily understand and we present a simple example to illustrate the approach.Towards the end of the module, we present some practical aspects pertaining to the concepts covered. This is done through a Q & A format with Mr. Prashun Dutta, Advisor - Gaiga Smart Cities

Project Network Scheduling and Crashing
-This module will cover Project Planning which is the second phase of Project Life Cycle. We first look at what Project Scope is and what scope creep refers to. Work Breakdown structure leading to work packages or activities with the associated precedence relationships are treated in detail. The next topic is about scheduling of the activities which requires the estimation of activity durations. The estimation of duration, cost and resource required for the identified activities are covered later as a separate topic. Here, using the same software development project, assuming that the durations of the activities have been estimated and ignoring the resource requirements for the different activities, we show how a schedule for the activities can be arrived at. The next topic is the estimation of durations, cost and resources required for the activities. Three popular estimating procedures are covered. The next topic covers the various reasons, possible benefits and different alternatives for reducing project duration. We then discuss in detail, one approach to reducing project duration viz. by incurring additional incremental direct cost for reducing activity durations and show how we can arrive at the least incremental direct cost for any specified project completion time. While the approach presented is conceptually sound it is difficult to implement for large projects. So, the next topic covers a linear programming approach to solve the same problem even if the project under consideration is large in terms of the number of activities. As in the previous module, towards the end of this module also, we present some practical aspects pertaining to the concepts covered. This again is done through a Q & A format with Mr. Prashun Dutta, Advisor - Gaiga Smart Cities

Resource Scheduling and Risk Management
-Activities in a project typically require the use of resources such as people, material, equipment and working capital. The schedule for the activities that we had calculated in the previous module assumes that adequate resources are available as and when required. However, in practice often adequate resources may not be available as required and the schedule may have to be modified. There are two types of problems when resource requirements are considered. One is the Resource Smoothing Problem and the other is the Resource Limitation problem. In the first one, i.e. the Resource Smoothing Problem, although the resources are available as and when required, we would want to find a schedule that "smoothes" the use of resources without delaying the project completion time. Critical Chain Project Management (CCPM) is the next topic dealt with in this module. CCPM has not gained universal acceptance although it is being used by some organizations with positive results. CCPM places a lot of emphasis on aggressive estimation of activity durations and provides for buffers to take care of some delays. With Risk Management, we first define what risk is and then discuss the risk management process including risk identification, risk assessment and various ways of reducing exposure to risk. Risk monitoring and control including change control process are also covered. Finally, the Program Evaluation and Review Technique (PERT) including a simulation approach to finding the distribution of the project completion time is covered as the last topic in this module. As in the previous modules, towards the end of this module, we present some practical aspects pertaining to the concepts covered. This again is done through a Q & A format with Mr. Prashun Dutta, Advisor - Gaiga Smart Cities

Agile Project Management, Monitoring and Control
-The first topic in this module is Agile Project Management which is useful in software development projects where the requirements are not well defined and the client is not able to articulate them clearly. The traditional sequential plan driven project is covered first followed by the agile project development cycle. The manifesto and agenda for agile project management are also covered.The next topic in this module is Monitoring and Control. The projects in progress should be reviewed at pre-specified intervals. The process of monitoring and control including the analysis of the status of the project are covered. The last two topics to be covered are Audit and Closure of projects. The audit may be of an ongoing project or of a completed project. The various steps involved in the audit process including the staffing of the audit team, functioning of the team, data collection, analysis and reports are covered in detail.The closure of a project may be a normal closure or a premature closure. The various tasks involved including the delivery of the output of the project, evaluation of the team as well as the project manager are spelt out. Towards the end of this module, we present some practical aspects pertaining to the concepts covered. This is done through a Q & A format with Mr. Prashun Dutta, Advisor - Gaiga Smart Cities

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Screenshots

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/9d98facb23cfa6bfe7274aa05cae6e4d/viixi.Coursera..IT.Project.Management.Indian.School.of.Business.rar.html

nitroflare_com:
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Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 27.04.2020, 14:14

Coursera - Statistics with R Specialization by Duke University
Video: .mp4 (1280x720) | Audio: AAC, 44100 kHz, 2ch | Size: 3.03 Gb | Materials: PDF
Genre: eLearning Video | Duration: 15h 47m | Language: English
Master Statistics with R. Statistical mastery of data analysis including inference, modeling, and Bayesian approaches.

Introduction to Probability and Data
This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule. You will examine various types of sampling methods, and discuss how such methods can impact the scope of inference. A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization. You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project. The concepts and techniques in this course will serve as building blocks for the inference and modeling courses in the Specialization.

Inferential Statistics
This course covers commonly used statistical inference methods for numerical and categorical data. You will learn how to set up and perform hypothesis tests, interpret p-values, and report the results of your analysis in a way that is interpretable for clients or the public. Using numerous data examples, you will learn to report estimates of quantities in a way that expresses the uncertainty of the quantity of interest. You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project. The course introduces practical tools for performing data analysis and explores the fundamental concepts necessary to interpret and report results for both categorical and numerical data

Linear Regression and Modeling
This course introduces simple and multiple linear regression models. These models allow you to assess the relationship between variables in a data set and a continuous response variable. Is there a relationship between the physical attractiveness of a professor and their student evaluation scores? Can we predict the test score for a child based on certain characteristics of his or her mother? In this course, you will learn the fundamental theory behind linear regression and, through data examples, learn to fit, examine, and utilize regression models to examine relationships between multiple variables, using the free statistical software R and RStudio.

Bayesian Statistics
This course describes Bayesian statistics, in which one's inferences about parameters or hypotheses are updated as evidence accumulates. You will learn to use Bayes' rule to transform prior probabilities into posterior probabilities, and be introduced to the underlying theory and perspective of the Bayesian paradigm. The course will apply Bayesian methods to several practical problems, to show end-to-end Bayesian analyses that move from framing the question to building models to eliciting prior probabilities to implementing in R (free statistical software) the final posterior distribution. Additionally, the course will introduce credible regions, Bayesian comparisons of means and proportions, Bayesian regression and inference using multiple models, and discussion of Bayesian prediction.

We assume learners in this course have background knowledge equivalent to what is covered in the earlier three courses in this specialization: "Introduction to Probability and Data," "Inferential Statistics," and "Linear Regression and Modeling."

Statistics with R Capstone
The capstone project will be an analysis using R that answers a specific scientific/business question provided by the course team. A large and complex dataset will be provided to learners and the analysis will require the application of a variety of methods and techniques introduced in the previous courses, including exploratory data analysis through data visualization and numerical summaries, statistical inference, and modeling as well as interpretations of these results in the context of the data and the research question. The analysis will implement both frequentist and Bayesian techniques and discuss in context of the data how these two approaches are similar and different, and what these differences mean for conclusions that can be drawn from the data.

A sampling of the final projects will be featured on the Duke Statistical Science department website. Note: Only learners who have passed the four previous courses in the specialization are eligible to take the Capstone.

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/bb8924e7157b164af7d1bbc604b72f4b/sb0qt.Coursera..Statistics.with.R.Specialization.by.Duke.University.part1.rar.html
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nitroflare_com:
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Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 27.04.2020, 14:15

IDimager Photo Supreme 5.4.0.2836 Multilingual | 111 Mb

Do you own a digital camera or do you have a large collection of images to manage? Then in no time finding that one image you're looking for becomes a chore. But Photo Supreme can change all that. Photo Supreme's integrated cataloging and management features will help you quickly find and work with your desired image.

Highlights

Advanced search capabilities
When looking for that one image, Photo Supreme will help you with deep text searches, tag searches, duplicate detection, similarity detection, dynamic search combinations and advanced filtering.

Limit access to those who need it
The Server Edition allows you to control who can access your Catalog. You control who can add or delete. You control who sees what in their screen.

Multi tab browsing
Photo Supreme brings tabbed browsing to your image archive. Take advantage of having multiple sets open at the same time.

Import & ingest images
Import your images in your Catalog the way you want. You can define naming conventions, apply metadata on import, version rules, and of course copy files.

Keyword tagging
Tagging your images has never been easier. GEO tagging, parent cascading, face tagging, and automatic metadata enrichment are just a few of many features.

Get organized
Organize your images in Portfolios and Collections.

Multi version control
Logically hold your pictures together so you can find them again more easily.

Features
Advanced search capabilities
Multi tab browsing
Import & ingest images
Side-by-side comparison (up to 6 images)
Keyword tagging
Advanced GEO tagging
Image organization in portfolios
Duplicate detection
Share images with Flickr, Smugmug, Zenfolio, Google+ (former Picasaweb), FTP, EMail
Dual monitor support
Creative Commons support
Lossless image editing
Supports Darwin Core metadata
Dynamic collections
Face detection
Area tagging
Extensible metadata with custom field definitions
Take your previews with you while travelling
Color managed
Fully scriptable
English, German, French, Italian, and Dutch locale
Full HD, 2K, 4K, 5K, Retina screen resolutions supported

Operating System: Windows Vista or higher

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

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/85d54ddc0501f5b15003730c5e5390fe/oxthd.IDimager.Photo.Supreme.5.4.0.2836.Multilingual.rar.html

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

mitsumi1 · 27.04.2020, 14:17

Linux Academy - AWS Certified SysOps Administrator - Associate (SOA-C01)
.MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 8h 33m | 4.55 GB
Instructor: Mark Richman

The AWS Certified SysOps Administrator - Associate (SOA-C01) is a certification based around administering applications on AWS from an operations viewpoint. Although there are some deployment topics, this certification deals more with decisions we must make in our environments based on information we receive from monitoring, auditing, and any performance feedback we gather.

This course has been developed to provide you with the requisite knowledge to not only pass the AWS SysOps Administrator certification exam but also gain the hands-on experience required to become a qualified AWS Systems Operator working in a real-world environment.

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/f82623680137ceacde7d0871757f38df/a6v25.Linux.Academy..AWS.Certified.SysOps.Administrator..Associate.SOAC01.part1.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