The Orange Book of Machine Learning - Green edition

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• The original edition is the GOAT book that still makes my life easy as a researcher in the intersection of AI/ML, network sciences and large dataset analysis.

• Orange book... ...is a great source of advice and useful information for analyzing tabular data, which is what I work with most of the time!

• The "Green Book" is a fantastic resource for all Data Scientists, I would say it should be on every DS desk, but given it's an e-book that will be updated continually, you should purchase it, bookmark it on your browser and refer to it often.

• ...your book helped me grasp the whole concept of conformal prediction in just 10 minutes - even though I had come across numerous online posts and articles, none of them presented the full picture as clearly and concisely as you did.

• ...it is friendly to beginners, while providing value and knowledge to experienced professionals.

• ...impressed by how focused, practical, and technically mature this book is. If you work with tabular data, this may be one of the most useful ML books you'll come across.", "A laser-focused guide for real-world ML

• ...one of the best books on machine learning for tabular data... What impresses me most about this book is its clarity, thoughtful selection of topics, and sharp focus. There is no wasted space here. You have a valuable and unique opportunity to master the subject without ever losing your motivation.... ...Without a doubt, this is a superb book

• This is the best concise machine learning book available, ideal for quick preparation before data science interviews. It effectively covers the entire spectrum of essential topics with a clear, standardized presentation. The UI/UX consistency across diagrams, such as decision tree boundaries and Chebyshev’s diagrams, demonstrates serious dedication and careful effort. What stands out most is the author's commentary style, offering practical insights and best practices, along with references to relevant research. Highly recommended.

• The book doesn't pretend to be an exhaustive encyclopedia of everything in ML. Instead, it curates a really interesting and high-impact subset of what actually matters for supervised learning on tabular data. Carl brings both solid theoretical foundations and serious hands-on experience "in the trenches".

• ...use it in my teaching activities as a lecturer. I found The Orange Book of Machine Learning to be a very clear and practical resource. It’s great to see high-quality material like this...