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    Cover of Math for Programmers

    Math for Programmers

    Paul Orland · 2020

    Mathematics
    Open LibraryAmazon
    Stats for nerds
    4recommend
    11mentions
    11people
    2018–2024years
    36% recommend64% neutral

    Mentions per year

    2018201920202021202220232024

    What Hacker News says

    1. photochemsynFeb 2023
      Great overview, though every one of those topics could be the subject of pages and pages of code and writing. I came across a good book recently that covers much of the material in a somewhat project-oriented way (all Python code, but if you're really motivated you can rewrite them into a more commonly used game language like C++ using SDL2 or similar). Lots of detailed examples and exercises (it's a bit more oriented towards machine learning uses than game engines):

      https://www.manning.com/books/math-for-programmers

      thread
    2. jbot27Jan 2022
      I would say I felt the same way. I am also self taught and just have high school level math. For the most part of my career though it hasn't really been an issue.

      But I want to learn ML so digging in. I feel like it is not as bad as I thought it would be, I think the problem with math information is assumes a lot of things. There are tons of notation that is really dense.

      My recommendation would be to pick a project or an area, because math is huge. Try to find resources for that. So for ML it is linear algebra and Calculus. Try to find a bunch of resources and get different ways of explaining it.

      I highly recommend:

      Math for Programmers by Paul Orland

      https://betterexplained.com/

      thread
    3. NeztebAug 2021
      Great post! I also highly recommend Math for Programmers from Manning: https://www.manning.com/books/math-for-programmers
      thread
    4. artoJun 2020
      You may be looking for this book: https://www.manning.com/books/math-for-programmers
      thread
    5. rshudsonSep 2024
      Is this the book: https://www.manning.com/books/math-for-programmers
      thread
    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.

      thread

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