I’m trying to learning machine learning from a more mathematical/theory side of machine learning just so its easier for me to understand AI/ML papers that are coming out just to keep up with them. I would say that I have a basic understanding of AI/ML but more so on the applied side like in Keras, TF, PyTorch somewhat but I feel like I am lacking on my understanding on the mathematical side of AI/ML. So any books and course recs for that?

  • gmatkinsEnglish
    7·
    1 year ago

    Mathematics for Machine Learning by Marc Deisenroth and Deep Learning by Ian Goodfellow. Two great books for theory but practice always helps too.

    • joba2ca@feddit.deEnglish
      4·
      1 year ago

      I also recommend Deep Learning by Goodfellow. Long chapter about the mathematical foundations. I found it very insightful as side lecture during my studies. Also, the online version is free.

      • __forward__@lemm.eeEnglish
        3·
        1 year ago

        Yes! This is an amazing book! It has all the neural models in great detail, considering the detail it goes into it’s also very readable.

  • konodas@feddit.deEnglish
    6·
    1 year ago

    Pattern Recognition and Machine Learning from Bishop is really good, imho. Its relatively math-heavy, so depending on your skill, reading Mathmatics for ML or Linear algebra and optimization for ML by c. aggarwal might be a good idea.