Machine Learning

506 readers

1 users here now

A community for posting things related to machine learning

Icon base by Lorc under CC BY 3.0 with modifications to add a gradient

founded 2 years ago

MODERATORS

Ategon

Akisamb

ericjmorey

Recommended learning materials (self.machine_learning)

submitted 1 year ago by Remavas to c/machine_learning

3 comments fedilink hide all child comments

Greetings. I am just getting started with Machine learning. I went into this field actually mostly focusing on Deep Learning, however whilst reading Ian Goodfellow's "Deep learning", I have found an interest in the field in general. Would you have any recommendations regarding books (or other resources, though I prefer textbooks)? Any recommendations are welcome.

Regarding mathematics, I would actually prefer books with a more rigorous exposition.

you are viewing a single comment's thread
view the rest of the comments

[–] Akisamb 2 points 1 year ago* (last edited 1 year ago)

If you're looking for the mathematical side, I'd recommend The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition that said it's quite old school, you won't find any information on why the new techniques work (especially deep learning). Still, if you want to understand bootstrapping, bias variance decomposition, the curse of dimensionality, I'd say this is one of the best books.

I'll also share recommended readings of different EPFL courses that I did for my masters degree :

Linear algebra and learning from data
The elements of statistical learning : data mining, inference, and prediction / Friedman
Understanding Machine Learning / Shalev-Shwartz
Neural Networks and Deep Learning / Nielsen
Machine Learning: A Probabilistic Perspective / Murphy
Pattern Recognition and Machine Learning / Bishop
Reinforcement Learning / Sutton
Deep Learning / Goodfellow