Machine Learning

1788 readers

1 users here now

founded 4 years ago

MODERATORS

[email protected]

Machine Learning books recommendations? (lemmy.ml)

submitted 1 year ago by [email protected] to c/[email protected]

6 comments fedilink hide all child comments

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?

top 5 comments

sorted by: hot top controversial new old

[–] gmatkins 7 points 1 year ago (1 children)

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

[–] [email protected] 4 points 1 year ago (1 children)

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.

[–] [email protected] 3 points 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.

[–] [email protected] 6 points 1 year ago* (last edited 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.

[–] [email protected] 4 points 1 year ago

ESL by Hastie and Tibshirani https://hastie.su.domains/ElemStatLearn/

load more comments