Legally Free Computer Books
Artificial Intelligence with Python – Second Edition is completely updated and revised to Python 3.x. New chapters for AI on the cloud, recurrent neural networks, deep learning models, and feature selection and engineering. Learn more about deep learning algorithms, machine learning data pipelines, and chatbots. …
With free course Blender 2.8 UV Mapping, use UV mapping to apply textures to 3D objects in Blender 2.8. Learn how to optimize a UV map for game characters. …
The Data Science Workshop is ideal for the data science beginner who is getting started for the first time. A data science tutorial with step-by-step exercises and activities that help build key skills. Structured to let you progress at your own pace, on your own terms. …
With C# 8 and .NET Core 3 Projects Using Azure – Second Edition, learn the core concepts of web applications, serverless computing, and microservices. Create an ASP.NET Core MVC application using controllers, routing, middleware and authentication. …
With Julia High Performance – Second Edition, use the power of the GPU to write efficient numerical code. Speed up your computation with the help of newly introduced shared memory multi-threading in Julia 1.0. …
With free The Complete Python Course, develop a lifelong love for programming with Python!. From foundations to expert, learn about every major Python topic. …
With Professional Cloud Architect – Google Cloud Certification Guide, plan and design a robust GCP cloud solution architecture. Ensure the security and reliability of your cloud solutions and operations. …
With Node.js Complete Reference Guide, explore the latest JavaScript features and EcmaScript modules. Walk through different stages of developing robust applications using Node.js 10. …
With Deep Learning with PyTorch 1.x – Second Edition, gain a thorough understanding of the PyTorch framework and learn to implement neural network architectures. Understand GPU computing to perform heavy deep learning computations using Python. …
With Hands-On GPU Computing with Python, understand effective synchronization strategies for faster processing using GPUs. Write parallel processing scripts with PyCuda and PyOpenCL. …