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MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 6.5 Hours | 2.61 GB
Genre: eLearning | Language: English
R Programming is a skill you'll need if you want to work as a data analyst or a data scientist in your industry of choice. And why wouldn't you - data scientist is the hottest ranked profession in the US. But to do that, you need the tools and the skillset to handle data. R is one of the top languages to get you where you want to be. Combine that with statistical know-how, and you will be well on your way to your dream job. This course packs all of this, and more, in one easy-to-handle bundle, and it's the perfect start to your journey. So, welcome to R Programming for Statistics and Data Science, the course that will get you from a complete beginner in programming with R to a professional who can complete data manipulation on demand. It gives you the complete skillset to tackle any new data science project with confidence and critically assess your work and other people's.
Practicability is the key to this course, Using R, you have a wide variety of options where you can take the code provided within this course and expand on it in any number of directions. You'll reinforce your learning through numerous practical exercises.Screenshots
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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | + Exercise Files
Level: Beginner | Released: 12 Oct 2018
Duration: 0h 39m | 116 MB
In this course, you are going to learn about the basics of creating Patterns and Symmetry in OnShape.
OnShape is a versatile browser-based 3D CAD platform. In this course, OnShape - Patterns and Symmetry, you will learn foundational knowledge you need to create basic patterns and symmetry. First, you will learn about sketch patterns. Next, you will discover feature patterns. Finally, you will explore how to create assemblies patterns. When you're finished with this course, you will have a solid foundation when it comes to OnShape patterning and be on your way to creating your own amazing products!Screenshots Download from free file storage
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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | + Exercise Files
Level: Advanced | Released: 12 Oct 2018
Duration: 1h 28m | 259 MB
Learn how to leverage Azure CDN to efficiently serve content from Azure Blob Service with both public and private storage accounts.
While serving content from Azure Blob storage directly is feasible it may not be the best fit in all scenarios. In this course, Microsoft Azure Developer: Implementing CDNs for Storage, you will gain the ability to integrate Azure CDN with Azure Blob Storage containers. First, you will learn how Azure CDN works and what scenarios it excels at. Next, you will discover how to configure Azure CDN on top of a blob storage container using common Azure tools and SDKs. Finally, you will explore how to maintain storage security with SAS token authentication. When you're finished with this course, you will have the skills and knowledge of Azure CDN needed to effectively enable serving content from your Azure Blob Storage account.Screenshots Download from free file storage
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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | + Exercise Files
Level: Beginner | Released: 12 Oct 2018
Duration: 1h 41m | 634 MB
Google Cloud AI offers a wide range of machine learning services. AutoML features cutting-edge technology which uses your training data to find the best model for your use case. In this course, you'll learn to build a custom machine learning model.
Most organizations want to harness the power of machine learning in order to improve their products, but they may not always have the expertise available in-house. In this course, Designing and Implementing Solutions Using Google Cloud AutoML, you'll learn how you can train custom machine learning models on your dataset with just a few clicks on the UI or a few commands on a terminal window. This course will also show how engineers and analysts can harness the power of ML for common use cases by using AutoML to build their own model, trained on their own data, without needing any specific machine learning expertise. First, you'll see an overview of the suite of machine learning services available on the Google Cloud and understand the features of each so you can make the right choice of service for your use case. You'll learn about the basic concepts underlying AutoML which uses neural architecture search and transfer learning to find the best neural network for your custom use case. Next, you'll explore AutoML's translation model, and feed in sentence pairs to the TMX format to perform German-English translation. You'll use your custom model for prediction from the UI, from the command line, and by using Python APIs. You'll also learn to understand the significance of the BLEU score to analyze the quality of your translation model. Finally, you'll use the natural language APIs that AutoML offers to build a model for sentiment analysis of reviews and work with AutoML for image classification using the AutoML Vision APIs. You'll finish up by learning the basic requirements of the data needed to train this model and develop a classifier that can identify fruits. At the end of this course, you will be very comfortable choosing the right ML API that fits your use case and using AutoML to build complex neural networks trained on your own dataset for common problems.Screenshots Download from free file storage
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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | + Exercise Files
Level: Beginner | Released: 12 Oct 2018
Duration: 3h 18m | 979 MB
PyTorch is an open source deep learning framework originally developed by the AI teams at Facebook. PyTorch offers high-level APIs which make it easy to build neural networks and great support for distributed training and prediction.
PyTorch is an open source, deep learning framework which is a popular alternative to TensorFlow and Apache MXNet. PyTorch APIs follow a Python-native approach which, along with dynamic graph execution, make it very intuitive to work with for Python developers and data scientists. In this course, Building Deep Learning Models Using PyTorch, you will learn to work with PyTorch and all the libraries that it has to offer, from first principles - starting with Torch tensors, dynamic computation graphs, and the autograd library, to compute gradients. You'll start off by understanding the basics of training a neural network, the forward and backward passes, and gradient computation. You will use these concepts to build simple neural networks to predict automobile prices, as well as who survived and who did not on the Titanic. Next, you'll move on to image classification using convolutional neural networks; you'll study the role of convolutional and pooling layers and the basic structure of a CNN, you'll then build a CNN to classify images from the Cifar-10 dataset. You'll also see how you can leverage the power of transfer learning by using pre-trained models for image classification. Finally, you'll get to work with recurrent neural networks for sequence data, seeing how the dynamic computation graph execution in PyTorch makes building RNNs very simple. You'll use RNNs with long memory cells to predict gender using baby names. At the end of this course, you will be comfortable using PyTorch libraries and APIs to leverage pre-trained models that PyTorch offers and also to build your own custom model for your specific use case.Screenshots Download from free file storage
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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | + Exercise Files
Level: Intermediate | Released: 12 Oct 2018
Duration: 3h 13m | 621 MB
Understanding file and data manipulation is key to a full understanding of C#. This course will teach you how to manage files and directories, read and write data in a number of different ways, and write unit tests using a mock file system.
At the core of C# file IO is a thorough knowledge of how to manipulate files and directories and use streams. In this course, Working with Files and Streams in C#, you will learn the skills you need to read and write text, binary, and CSV files, and work with streams of data. First, you will learn how to manipulate files and directories on disk. Next, you will discover how to respond to changes in the file system and read and write data by loading entire files into memory or by incrementally processing them with streams. Finally, you will explore how to write testable file IO code and how to use a mock file system to create faster-executing and more maintainable tests. When you're finished with this course, you will have a foundational understanding of file access and stream manipulation code that will help you immensely as you move forward and create your own file- or stream-manipulating applications.Screenshots Download from free file storage
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.MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .VTT | Duration: 6.5 hour | Size: 4.08 GB
Learn all about the most powerful memory improvement techniques used by memory athletes
What Will I Learn?
At the end of my course, you will have all the tools for becoming a memory athlete.
Whether you are at the beginning of your journey to improving your memory, or you already have notions in this area, I am convinced that in this course you will find new and interesting things to apply to your daily activities.
Requirements
There are no special requirements , other than having an interest in this fascinating area of Memory Improvement.
No prior knowledge in memory improvement required ! You will see for yourself how simple and handy this skill is!
Description
WELCOME TO THE MEMORY EXPERTS' TOOLS SERIES: 6 in 1 BUNDLE COURSE
With more than 6 hours of video lectures in 6 courses and with a lot of useful supplemental resources, this course will help you to really improve your memory and will give you the tools you need to make lasting improvements in your life, your studies and in your career.
At the end of this course, you will have all the tools, the entire Memory Arsenal, for becoming a Memory Athlete.
In the next lessons you will find actionable, easy-to-apply techniques and activities that can be used immediately to ensure your success in different situations that you face every day.
Here are the 6 courses of the series(so far):
1. Memory Experts' Tools: The Loci Method
2. Memory Experts' Tools: The Person-Action (Dominic) System
3. Memory Experts' Tools: The PAO(Person-Action-Object) System
4. Memory Experts' Tools: The Major System
5. Memory Experts' Tools: The PEG System
6. Memory Experts' Tools: Memorize Playing Cards like a PRO
The Memory Experts' Tools series will be continued with other courses, dedicated to the most powerful mnemonic techniques, presented in detail and with a lot of examples.
Whether you are at the beginning of your journey to improving your memory, or you already have notions in this area, I am convinced that in this course you will find new and interesting things to apply to your daily activities.
Keep in mind that these methods and systems are tested and used by memory experts and they will also work for you.
Although I am not the one who invented these methods, I hope I will be a good teacher to help you understand what I wanted to present to you in this course.
I'm sure you will find them very useful!
Chris M Nemo
Memory Improvement Writer and Blogger at The Mnemo Bay
Who is the target audience?
Anyone looking to develop new learning and memory improvement skills. This course is suitable for complete beginners,too.
People who think they have a bad memory and want to do something about itScreenshots Download from free file storage
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.MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 3 hour | Size: 1.8 GB
So, you want to start using Linux as your main operating system? What does the optimal path look like? Let's find out!
What Will I Learn?
Efficient use of Linux Ubuntu Desktop for day-to-day business activities
You will be able to perform all operations as it were done in your current operating system
You will learn how to install free software on Linux for your daily business activities
You will acquire the FREEDOM to chose which operating system is better for you
Requirements
No special skill needed
Laptop and Interest in Learning new stuff technology
Description
A simple search on the internet about 'the best operating system' reveals that Linux Operating system is the most efficient, effective and robust operating system there is, not mentioning the cheapest (almost free). Linux powers most of the world's digital devices, from mobile to gadgets and high tech equipment.
This course has been created primarily for everyone who is considering a switch to Linux Operating - a robust and mostly free operating system out there. If you have been using windows all your life, this might be a good time to consider a switch as most of the applications you are used to in windows are equally available on linux and also for FREE.
In this course, I detailed, with demos, how to install a Linux Operating System, Using Linux without Installing, Creating a Virtual Machines for Linux, Installing Software and using the free software available for your daily activities.
As a coach and teacher, my students are my first priority, thus creating practical and walkthrough courses that you can pick up and start using right from the first topic. Every of my courses are thoughtfully and carefully designed to follow a walkthrough approach and to accommodate a wide range of learning styles and personalities.
This is a course for you if your aim is to become a Linux User or if you are simply curious about Linux and are considering a switch from your present operating system to Linux.
I am quick to respond to messages and will reply to your messages with every detail within the first 6hours of your message or latest 24hours due to time zone differences.
I look forward to helping you achieve your learning goals with this course. I also promise to continually update, upgrade and add new topics to this course to help you keep up to date with the contents.
I thank you for your interest in my course and hope my effort will make you better computer user on Linux Platform.
See you in the course.
Who is the target audience?
Windows Users
Anyone looking to start using Linux
Anyone interested in using new operating system
Desktop users looking for a fast operating systemScreenshots Download from free file storage
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.MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .VTT | Duration: 2 hour | Size: 1.32 GB
A step-by-step guide to creating your first game with Unity
What Will I Learn?
Become familiar with the interface and discover useful shortcuts and functionalities that can save them time.
Create a functional 3D environment from scratch using Unity built-in objects.
Combine primitives (e.g., boxes) to rapidly build a maze.
Import and apply textures.
Create an outdoor environment with Unity's built-in terrain generator.
Know how to search for and organize assets in your game efficiently.
Work with textures, lights and shadows to add more realism.
Add and control First- and Third-person Controllers.
Export a scene created in Unity so that it can be displayed on a web page.
Apply colors to objects.
Find objects and assets easily in your project.
Include and control vehicles such as cars or planes.
Requirements
No prior material is required. We will learn how to install and launch the software in the first lessons.
No prior programming experience or knowledge of Unity is required.
You just need to be able to perform common computer tasks such as downloading items, opening and saving files, and be comfortable with dragging and dropping items and typing.
Description
In this course, you will become comfortable with Unity's interface and its core features, by creating a project (with no coding involved) that includes both an indoor and an outdoor environment.
You will learn how to install Unity and to become familiar with the interface. You will also learn and use different shortcuts necessary to navigate through scenes and projects in Unity.
You will learn to create and export your first scene by combining built-in objects. You will also learn how to manage objects, apply textures and colors, and transform objects to create a simple scene.
You will create an indoor scene (i.e., a maze) with built-in shapes. You will also work with and manage lights in your scene to set the atmosphere and navigate through the scene with a First-Person Controller.
You will then create a realistic island with sandy beaches, water, and palm trees using Unity's built-in assets, drive a car and pilot an airplane.
Who is the target audience?
Aspiring game developer with no experience in game development.
Total beginner in Unity.
Anyone who would like to become familiar with Unity and use some of the most commonly-used built-in features.
Experinced C# coder who would like to start creating games but with no experience of Unity.
Anyone who want to become proficient in the core functionalities offered by Unity.Screenshots Download from free file storage
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