R Books


Information Theory for Data Science

Information theory deals with mathematical laws that govern the flow, representation and transmission of information, just as the field of physics concerns laws that govern the behavior of the physical universe. The foundation was made in the context of communication while characterizing the fundamental limits of communication and offering codes (s

The Haskell School of Music

Haskell

This free book explores the fundamentals of computer music and functional programming through the Haskell programming language. Functional programming is typically considered difficult to learn. This introduction in the context of creating music will allow students and professionals with a musical inclination to leverage their experience to help un

Podman in Action

Kubernetes Docker

Podman in Action shows you how to deploy containerized applications on Linux, Windows, and MacOS systems using Podman. Written by Daniel Walsh, who leads the Red Hat Podman team, this book teaches you how to securely manage the entire application lifecycle without human intervention. You'll quickly get to grips with Podman's unique advantages over

MATLAB Roadmap to Applications

MATLAB

This open access book presents a comprehensive guide to MATLAB programming, catering to students, engineers, and researchers seeking to harness MATLAB as a powerful tool for their work. The text meticulously covers fundamental concepts, progressing from basic elements such as types and operators to more complex structures like arrays and matrices.

Think Complexity, 2nd Edition

Python

Complexity science uses computation to explore the physical and social sciences. In Think Complexity, you'll use graphs, cellular automata, and agent-based models to study topics in physics, biology, and economics. Whether you're an intermediate-level Python programmer or a student of computational modeling, you'll delve into examples of complex sy

AI at the Edge

Linux

Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target-from ultra-low powe

Think Python, 3rd Edition

Python

Think Python is an introduction to Python programming for beginners. It starts with basic concepts of programming; it is carefully designed to define all terms when they are first used and to develop each new concept in a logical progression. Larger pieces, like recursion and object-oriented programming, are divided into a sequence of smaller steps

Transitioning to .NET Core on Red Hat Enterprise Linux

.NET ASP.NET Linux

Everything in the .NET world has changed, and decidedly for the better. Not only is .NET Core now an open source framework, but thanks to Microsoft's recent partnership with Red Hat, you can develop and run .NET web applications on Linux. In this report, author Don Schenck shows you how to create simple applications with ASP.NET, MVC, and Entity Fr

Software‐Defined Storage For Dummies

The business of the future - your business - will be a "thinking" business, or what IBM calls a cognitive business. A cognitive business uses its data assets to gain competitive advantage. The technology that helps you do all the things you want to do with your data assets is called information technology (IT). One of the main components of busines

IBM Synthetic Data Sets

IBM Synthetic Data Sets is a family of artificially generated, enterprise-grade datasets that enhance predictive artificial intelligence (AI) model training and large language models (LLMs) to benefit IBM Z and IBM LinuxONE clients, ecosystems, and independent software vendors. These pre-built datasets are downloadable and packaged as comma-separat