I’ve just bought this delightfully titled book: No bullshit guide to linear algebra by Ivan Savov.
It’s not necessarily easy learning everything you need to know about linear algebra for machine learning in 5 weeks (is that just me???) – so when I hit a bit of a brick wall in week 4 I went looking for complementary sources of information to help me “get it”. On the strength of this one comment “Ivan’s books are always in my reference library. He is the Silvanus P Thompson of our modern day” I bought the book and I must say I can only agree that Ivan is indeed a modern day Silvanus!
It was tempting to skip straight to the parts that I’ve been struggling with, but in retrospect I’m consolidating and working from the beginning – and I feel like a slightly less shaky foundation is being built!
Sho't left to data science 