The Hundred-Page Machine Learning Book
by Andriy Burkov · first published 2019
11mentions
5recommended by
10HN commenters
2019–2025first – last mentioned
50% recommend40% neutral10% critical
Why HN recommends it
A brief, clear overview of machine learning concepts, presented crisply and to the point. It serves as a lightweight introduction to how ML works under the hood before taking a longer course.
Summarised by Claude from recommending comments
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Hmm, so I'm reading The Hundred Page Machine Learning Book [0] which gives an overview of the field, and one of the sections is on convolutional neural networks, and it was very crisp and clear (like the whole book, really; highly recommended). I understand…
on “Understanding Convolutions (2014)” ↗…important methods (Transformer Layers, Causal convolutions, etc.) aren’t given proper treatment because the field was still moving fast at the time of publishing. A much better investment would be the One Hundred Page Machine Learning Book. It’s written with practitioners in mind. Link here: https://www.amazon.com/Hundred-Page-Machine-Learning-Book/dp...:
on “Ask HN: Best Book for Machine Learning” ↗For Machine Learning theory related to Data Science I'd highly recommend "The Hundred-Page Machine Learning Book" by Andriy Burkov [1]. According to the author, by reading one hundred pages of the book (plus some extra bonus pages), you will be ready to build complex AI systems, pass an interview or start your…
on “Data science interview questions with answers” ↗The Hundred-Page Machine Learning Book by Andriy Burkov - is quite highly regarded and to the point. http://themlbook.com/
on “Applications of Deep Neural Networks v2 [pdf]” ↗…derive and write automatic differentiation (AD) library from scratch but it's always good to know the fundamentals [1]. Andriy Burkov has written excellent trilogy books series on AI/LLMs namely "The Hundred-Page Machine Learning Book" and "Machine Learning Engineering" and the latest "The Hundred-Page Language Models Book" [2],[3],[4]. Having said that, the capability of providing useful AI/LLMs solutions for intuitive and interactive…
on “Ask HN: Go deep into AI/LLMs or just use them as tools?” ↗"The Hundred-Page Machine Learning Book" will teach you what ML is. It can be a treated as a light weight replacement for say an Andrew NG course. You wont learn anything practical / code something in PyTorch or Tensorflow but you ll understand…
on “Machine Learning Engineering Book” ↗I had the same problem with "The Hundred-Page Machine Learning Book" [1]; the default (cheaper by a few pennies) option via Amazon Prime was sold by a 3rd party selling counterfeit copies. I purchased another copy from Amazon directly to compare, and you could clearly…
on “Counterfeit books “shipped and sold by Amazon”?” ↗I have some of these hardcover pod books, authored by qntm [1] and their website points to Amazon as a supplier. So I assume its legitimate in that case. I also have Andriy Burkov's Hundred-Page Machine Learning Book in pod paperback, and the author advises buying it from Amazon to avoid scammers profiting from repackaging the open source content. So again, apparently legit. The books themselves seem of decent quality…
on “Tell HN: Books Printed by Amazon” ↗Hi HN! About a year ago I bought A. Burkov's "The hundred-page machine learning book". I thought it could be a good starting point for learning about transformers and GenAI. But then I discovered here [1] the logic is far more complex, and a bit more specific (it also contains a lot…
on “Ask HN: Does machine learning make sense if GenAI keep evolving?” ↗How this book is different from the "The Hundred-Page Machine Learning Book" or "Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems"?
on “Machine Learning Engineering Book” ↗…really understand why all of it works, but also that it's heavy on commentary and pictures, which helps me to understand the math quicker. Counterexamples: Baby Rudin one one side of the spectrum, The Hundred-Page Machine Learning Book on the other.
on “Has GitHub been down more since its acquisition by Microsoft?” ↗