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 - Probabilistic Programming and Bayesian Methods for Hackers by Cameron Davidson https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
Book #6 - 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 #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://incompleteideas.net/book/bookdraft2017nov5.pdf
Book #9 - The Book of Why by Judea Pearl https://www.academia.edu/36682718/_Judea_Pearl_and_Dana_Mackenzie_The_Book_of_Why_b-ok.xyz _
Book #10 - Quantum Machine Learning by Peter Wittek https://doc.lagout.org/Others/Data%20Mining/Quantum%20Machine%20Learning_%20What%20Quantum%20Computing%20Means%20to%20Data%20Mining%20%5BWittek%202014-08-28%5D.pdf