
Grokking Machine Learning
by Luis Serrano · first published 2021
7mentions
4recommended by
7HN commenters
2022–2025first – last mentioned
57% recommend43% neutral
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…I will admit that fast.ai goes a little ... fast ... but that is kind of their thing. If you do not have any math-heavy background and want to learn ML at a little deeper level there is a book titled "Grokking Machine Learning" by Luis Serrano that I would recommend. The author is a good communicator and uses non-technical language to explain technical terms in a way that is easy to understand. I mostly already knew everything…
on “Decision Trees in Python: Predicting Diabetes” ↗I really liked Grokking Machine Learning by Luis Serrano. [1] It builds from a highschool math level, which made it really easy to get up to speed! [1] https://www.manning.com/books/grokking-machine-learning
on “Ask HN: AI is really exciting but where do I start?” ↗This gave me the theoretical foundation I needed to grok most of the recs on HN:Grokking Machine Learning book.
on “How to get started learning modern AI?” ↗These guys are great but unfortunately the ai sutton and barto book is really bad. You would do better with Grokking Machine Learning by trask, and then a couple months of implementing ml papers.
on “Richard Sutton and Andrew Barto Win 2024 Turing Award” ↗…Structures in Action (MEAP) Algorithms of the Intelligent Web 2e Data Science with Python and Dask Data Wrangling with Javascript Get Programming with Haskell Grokking Algorithms Grokking Bitcoin Grokking Machine Learning (MEAP) Machine Learning in Action Math and Architectures of Deep Learning (MEAP) Math for Programmers Modern Fortran Practical Data Science with R 2e Practical Recommender Systems Quantum Computing…
on “Math for Programmers 2023” ↗…and cover the basic math and theory of machine learning and some deep learning. If that answer your question. Although the content is probably a mix of video and pdf (exercise material) There's also "Grokking Machine Learning" by Serrano, which I haven't read, but seems relevant to your question as well > Discover valuable machine learning techniques you can understand and apply using just high-school math.
on “Introduction to math for game developers” ↗This comment seems unnecessarily personal. The difference between the reading list and Grokking Machine Learning appears to be the layer of application. ‘Grokking’s description indicates it is for a very applied role: “teaches you how to apply ML to your projects using only standard Python code and high school-level…
on “Reading list to join AI field from Hugging Face cofounder” ↗