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I'm writing to share a book I just published that I think many of you might find interesting or useful.
The book is called "Machine Learning from Scratch." It provides complete derivations of the most common algorithms in ML (OLS, logistic regression, naive Bayes, trees, boosting, neural nets, etc.) both in theory and math. It also demonstrates constructions of each of these methods from scratch in Python using only numpy.
My aim with the…