Book Review: The Hundred-Page Machine Learning Book
I first ordered The Hundred-Page Machine Learning book back in May and am only just now finishing it up. In COVID-time, that was about 10 years ago. As you might have inferred, this book is NOT a quick read. What it lacks in easy reading, it makes up for in efficiency. This book swallows up the heavyweight mathematics textbooks and spits out a slim product no thicker than the width of my smartphone. From page one all the way to page 136, Andriy Burkov, the author, does not waste a single word in distilling the most practical concepts in machine learning. You read that right. It is MORE than 100 pages! Sounds like the book has some bias. Get it?
Now get ready for my hundred-page book review. Just kidding.
Who should read this book?
This book caters to a wide range of data science enthusiasts. However, your experiences reading this novel will be drastically different. They are highly dependent on your prior knowledge of mathematics and data science, as well as, how quickly you want to zoom through this book. Here is my breakdown on what to expect based on your background.
TL;DR: Scroll down to the Audience Summary Table.
The Bold Novice
The Bold Novice is someone who has read a handful of data-driven articles from mainstream sources like…
