Book review, The 100 Page Machine Learning Handbook, by Andriy Burkov

This was...

This is a small and light book which covers all of the basic fields of machine learning maths. To achieve this, it does it succinctly and lightly using dense mathematical notation.

I already knew...

I already knew some of the basic calculus, but the methods described here were largely new to me.

What was new...

Everything from regression to support vector machines to deep learning. Reading this book requires some attention so it's not bedtime reading. I would recommend taking notes if you are reading through this and possibly implementing some code that does some of these. You will find Python libraries for some of this.

I particularly liked...

I like it that the vast field of machine learning can be covered in such a light book. This was still quite succinct and dense.

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