Hi there!
I’ll be short. Now that the Mathematics of Machine Learning has been released, I finally have the time to put together a cohort-based course, which I have wanted to do for some time!
As a paid subscriber of The Palindrome, I would like to share the announcement with you first and also ask for your opinion.
The issue is, I can’t decide on the topic. I have the material for two courses:
Mathematics of Machine Learning,
and Neural Networks from Scratch.
Which one would you like to see first? (I’ll do both eventually!)
I’ll briefly outline the curriculum below.
Mathematics of Machine Learning
The Mathematics of Machine Learning course would be based on the book, with a focus on practice and coding rather than theory.
Session 1 is about vectors, where we’ll
take a brief look at the mathematical definition,
see how we can represent them with built-in Python data structures and why we shouldn’t,
implement our custom Vector class with vector addition, scalar multiplication, and all,
and replace i…