Grokking Machine Learning, Second Edition | 誠品線上

Grokking Machine Learning, Second Edition

內容簡介

內容簡介 Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book. Machine Learning (ML) is a broad term for software that can spot patterns in data and make decisions without being explicitly programmed for each task. ML algorithms power the search and recommendation systems, business workflows, and software security systems you use every day--including AI tools like ChatGPT. This unique book brings the core ideas of ML to life with vivid examples, engaging exercises, and crisp illustrations. There's no jargon or complex academic theory. All you need is basic programming knowledge, high school mathematics, and curiosity! This book helps you build an intuitive understanding of machine learning from the ground up. Each chapter introduces a core ML concept, such as regression and tree-based methods, data preprocessing, feature engineering, neural networks, and more. This totally-revised second edition also illuminates modern AI, including transformers, LLMs, and image generation models. You'll especially appreciate the easy-to-follow Python-based exercises and hands-on mini-projects that encourage you to practice as you learn. What's inside - Clear code examples and fun illustrations - How ML and AI modes are built, trained, and evaluated - Neural networks, regression, and probabilistic models - Data preprocessing and feature engineering - Generative AI basics clearly explained About the reader For readers who know basic Python. No machine learning knowledge is necessary. About the author Luis G. Serrano is an artificial intelligence scientist, educator, and popularizer. Previously, he was a Machine Learning Engineer at Google and Lead Artificial Intelligence Educator at Apple.

作者介紹

作者介紹 Luis G. Serrano is a research scientist in quantum artificial intelligence at Zapata Computing. He has worked previously as a Machine Learning Engineer at Google, as a Lead Artificial Intelligence Educator at Apple, and as the Head of Content in Artificial Intelligence and Data Science at Udacity. Luis has a PhD in mathematics from the University of Michigan, a bachelor's and master's in mathematics from the University of Waterloo, and worked as a postdoctoral researcher at the Laboratoire de Combinatoire et d'Informatique Mathématique at the University of Quebec at Montreal. Luis maintains a popular YouTube channel about machine learning with over 75,000 subscribers and over 3 million views, and is a frequent speaker at artificial intelligence and data science conferences.

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