Nov. 17, 2023, 8:19 a.m. | Andreas Stöffelbauer

Towards Data Science - Medium

Seven of my Favourite Machine Learning Books

Photo by Laura Kapfer on Unsplash

In my first ever blog post for Towards Data Science in 2019, I wrote about five of my favorite machine learning books — books that cover every aspect from basic linear algebra to modern deep learning.

They were:

  • Linear Algebra Done Right by Sheldon Axler
  • Mathematical Statistics and Data Analysis by John A. Rice
  • Elements of Statistical Learning by Trevor Hastie et al.
  • Neural Networks and Deep …

algebra basic blog books data data science deep learning every five laura linear linear algebra machine machine learning modern science statistics

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