Grokking Machine Learning

What Hacker News says

1. wegfawefgawefgMar 2025
   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.
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2. syndacksMar 2023
   This gave me the theoretical foundation I needed to grok most of the recs on HN:Grokking Machine Learning book.
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3. mhuffmanOct 2022
   No problem! The fast.ai forums and discussion groups are really friendly and will help if you have questions.

   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 in the book when I read it, but it was so engaging that I read it anyway and did learn some new things.

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4. graypeggOct 2022
   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

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5. elicksaurMay 2024
   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 math”.

   The linked reading list appears to be targeted at one level up the stack so to speak. Instead of learning how to string a few Python libraries together (which is useful, not knocking it), the goal would possibly be writing the Python library itself for a ML architecture.

   Given the author’s position, it makes sense why they found the content of the latter useful in getting to that position.

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6. turtleyachtAug 2023
   Here is the 2021 list for comparison:

   Algorithms and Data 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 in Action (MEAP)

   Succeeding with AI

   Manning Early Access Program (MEAP) lets folks pre-order works in progress to give early feedback.

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