Design Machine Learning System

Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, cofounder of Claypot AI, considers each design decision in the context of how it can help your system as a whole achieve its objectives.

Hugh Howey is known for crafting riveting and immersive tales of boundless imagination. Now comes Machine Learning, an impressive collection of Howey's science fiction and fantasy short fiction, including three stories set in the world of Wool, two never-before-published tales written exclusively for this volume, and 15 additional stories collected here for the first time. These stories explore everything from artificial intelligence to parallel universes to video games, and each story is accompanied by an author's note.

Ned discovers a hard truth about his past but will it also endanger the future of the universe? After reconnecting with an old acquaintance, Hank’s AI companion is on the hunt for more information and it just might bring them closer than ever to Twain. But the old Enemy AI has a few tricks up his sleeve. And while they pursue the villain, the crew also find themselves in the crosshairs. Having angered a shadowy sect, the hunters become the hunted.

The future of Artificial Intelligence isn't just intelligent — it's agentic. We are entering a new era where artificial intelligence doesn't just respond to prompts but initiates actions, makes decisions, and pursues goals. Agentic AI is your essential guide to designing and deploying these next-generation autonomous systems. This book dives deep into: Core principles of agentic behavior and decision-making Architectures and frameworks for building intelligent agents Integration with tools, environments, and real-world systems Ethical and practical challenges of autonomous AI Whether ...

A primer on Machine Learning tailored for individuals interested in exploring the field before advancing to more complex literature by the author, including 'Data Science' and other works. ('Data Science' achieved the #1 spot in Mathematical Analysis on Amazon).

Machine learning is everywhere. It is time for you to start learning what machine learning is all about, and you can do that with this book. Discover what neural networks are, about python and machine learning, examples of machine learning, how machine learning is beneficial to you, and so much more.

Three comprehensive manuscripts in one audiobook. Listen to this audiobook now if you want to learn more about machine learning!

This book is designed to be an introduction to machine learning algorithms for a complete beginner. It starts with an explanation of exactly what machine learning algorithms are and then walks you through the languages and frameworks used to create them. Studying machine learning is considered to be quite challenging due to the impression that special talent is required or some unachievable level of mathematics is needed in order to understand the various algorithms and techniques. But anyone can learn to become a machine learner and put the theory into practice.

This book on machine learning will explain the concepts, methods, and history behind machine learning. Learn what it is, its importance, history, and much more.

Machine Learning: The History of Automating Computers to Observe and Analyze Data looks at the attempts to develop machine learning, from successes to failures. You will learn about machine learning like never before.