> math resources
a small collection to help you get started with the fundamental math needed for machine learning. good luck, traveler!
books for ml / lin alg
1) 'mathematics for machine learning' by deisenrot et al
> the best book on the topic imo. well-written and not overly abstract.
2) 'linear algebra done right' by sheldon axler
> not ml-specific, but great for linear algebra (especially spaces imo).
3) 'immersive linear algebra' by ström et al
> online fully interactive linear algebra book. nice for some visuals.
videos, courses & websites
got any good resources to add? dm me on x @utagawa_eth.