10 Books to Learn Machine Learning

I've designed an ordered reading list of free books to help anyone learn machine learning efficiently! I'll explain why I chose each book and detail how it fits into the larger learning path. We'll start by learning about how the original learning algorithm (the human brain) works, then progressively move into more difficult technical subjects in machine learning. By the end, i'll have you learning about the cutting edge of machine learning (causal reasoning) and ideating as to how quantum machine learning will help drive the field forward. From beginner to doing cutting edge research in 10 books, enjoy! It would mean so much to me if you subscribe to my YouTube Channel! https://bit.ly/2SvhG7v Book List: Book #1: Incognito: the Secret Lives of the Brain by David Eaglemann https://fatimekerimli.files.wordpress.com/2016/09/david-eagleman-incognito.pdf Book #2 - How Smart Machines think by Sean Gerrish (sign up to scribd for free, download the book, then cancel your trial so its free) https://www.scribd.com/document/404218564/How-Smart-Machines-Think-Sean-Gerrish-pdf Book #3 - The Hundred Page Machine Learning Book by Andrej Burkov https://github.com/ZakiaSalod/The-Hundred-Page-Machine-Learning-Book Book #4 - Python Machine Learning 2nd Edition by Sebastian Reschka https://github.com/rasbt/python-machine-learning-book-2nd-edition Book #5 - Grokking Deep Learning by Andrew Trask https://github.com/ontiyonke/Free-Deep-Learning-Books/blob/master/book/Grokking%20Deep%20Learning%20-%20MEAP%20v10.pdf Book #6 - Probabilistic Programming and Bayesian Methods for Hackers by Cameron Davidson https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers Book #7 - Doing Data Science: Straight Talk From The Frontline by Rachel Schutt https://github.com/SayantanMitra87/Data-Science-Books-1/blob/master/Doing%20Data%20Science%20Straight%20Talk%20from%20the%20Frontline.pdf Book #8 - Reinforcement Learning by Sutton and Barto http://incomple