I like the book "Data Science from Scratch" (2019) by Joel Grus, now in its 2nd edition, which implements algorithms in Python. But I wish the author used Numpy and implemented his own array classes, which I think is taking "from scratch" too far.
What is a good book or blog for machine learning Python algorithms building up from Numpy? The site mentioned in this post or something else?
The only other book I can think of is Andrew Trask's Grokking Deep Learning, but that book has many fundamental mistakes that I can't recommend it to anyone.
What is a good book or blog for machine learning Python algorithms building up from Numpy? The site mentioned in this post or something else?