Skip to content
HomeVideosBooks
AllTopicsTrends
BlogsPodcasts
HistoryListsWatch laterLiked videosFollowing

The videos, books, blogs and podcasts Hacker News keeps recommending, all in one place.

VideosBooksBlogsPodcastsAboutPrivacySettings

Data from Hacker News, HackerTube, HackerBooks, HackerBlogs and Open Library. Credits · Not affiliated with Y Combinator.

HomeVideosBooksBlogsPodcasts
Ctrl K
    Cover of StatQuest Illustrated Guide to Machine Learning!!!

    StatQuest Illustrated Guide to Machine Learning!!!

    Josh Starmer · 2022

    AI & Machine Learning
    Open LibraryAmazon
    Stats for nerds
    2recommend
    3mentions
    2people
    2024–2025years
    100% recommend

    Mentions per year

    20242025

    What Hacker News says

    1. TechDebtDevinApr 2025
      Anyone who wants to demystify ML should read: The StatQuest Illustrated Guide to Machine Learning [0] By Josh Starmer. To this day I haven't found a teacher who could express complex ideas as clearly and concisely as Starmer does. It's written in an almost children's book like format that is very easy to read and understand. He also just published a book on NN that is just as good. Highly recommend even if you are already an expert as it will give you great ways to teach and communicate complex ideas in ML.

      [0]: https://www.goodreads.com/book/show/75622146-the-statquest-i...

      thread
    2. TechDebtDevinMar 2025
      Anyone who wants to demystify ML should read: The StatQuest Illustrated Guide to Machine Learning [0] By Josh Starmer.

      To this day I haven't found a teacher who could express complex ideas as clearly and concisely as Starmer does. It's written in an almost children's book like format that is very easy to read and understand. He also just published a book on NN that is just as good. Highly recommend even if you are already an expert as it will give you great ways to teach and communicate complex ideas in ML.

      [0]: https://www.goodreads.com/book/show/75622146-the-statquest-i...

      thread
    3. wyndylApr 2024
      # Books I've liked that are approachable:

      - [The Elements of Statistical Learning](https://link.springer.com/book/10.1007/978-0-387-84858-7)

      - [The Little Learner: A Straight Line to Deep Learning](https://mitpress.mit.edu/9780262546379/the-little-learner/)

      - [The StatQuest Illustrated Guide To Machine Learning](https://www.amazon.com/dp/B0BLM4TLPY)

      # Online Videos / Courses

      - [Karpthy's Zero to Hero](https://www.youtube.com/watch?v=VMj-3S1tku0&list=PLAqhIrjkxb...)

      - [fast.ai](https://www.fast.ai/)

      - [3blue1brown Neural Network Course] (https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_6700...)

      - [Andrew Ng's Courses](https://www.deeplearning.ai/)

      # Fun Projects

      - These will teach you data-wrangling things that unfortunately eat up a lot of time.

      What do you want to build? I'd love to spitball ideas here.

      thread

    Related

    Cover of Python Data Science Handbook
    2016–2026

    Python Data Science Handbook

    Jake VanderPlas
    8 recommend · 12
    Cover of The Elements of Statistical Learning
    2007–2026

    The Elements of Statistical Learning

    Trevor Hastie
    144 recommend · 266
    Cover of Machine learning
    2012–2025

    Machine learning

    Kevin P. Murphy
    15 recommend · 31
    Cover of Introduction to Statistical Learning
    2014–2026

    Introduction to Statistical Learning

    Gareth James
    85 recommend · 120
    Probabilistic Machine LearningKevin P. Murphy
    2020–2026

    Probabilistic Machine Learning

    Kevin P. Murphy
    27 recommend · 40
    Cover of Artificial Intelligence
    2007–2026

    Artificial Intelligence

    Stuart J. Russell
    60 recommend · 153
    Cover of Python machine learning
    2016–2026

    Python machine learning

    Sebastian Raschka
    5 recommend · 11
    Cover of Understanding Machine Learning
    2014–2023

    Understanding Machine Learning

    Shai Shalev-Shwartz
    12 recommend · 18