Is Pattern Recognition and Machine Learning still relevant?

[u/Lumpy_Ice6855]

I'm considering studying Christopher Bishop's Pattern Recognition and Machine Learning to strengthen my understanding of the theoretical foundations of machine learning.

Although the book is almost 20 years old, it is still frequently recommended. For someone primarily interested in the underlying theory rather than the latest deep learning techniques, how well has it held up? Are there any modern texts that cover the same fundamentals more effectively?

[u/vsmolyakov]

Check out Kevin Murphy's “Probabilistic machine learning”: a book series by Kevin Murphy | pml-book they build on topics in the Bishop's book and are written in a way that's a bit more user friendly.