From Linear Algebra to Deep Learning in 7 Books (Winter 2023 Update)

Seven of my Favourite Machine Learning Books

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 …

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