Artificial Intelligence

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Top 10 Books to Learn Machine Learning Here is an ordered reading list of free books to help anyone learn machine learning efficiently! 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! Here is the list of Top 10 Books Book #1: Incognito: the Secret Lives of the Brain by David Eaglemann https://fatimekerimli.files.wordpress... 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/40421... Book #3 - The Hundred Page Machine Learning Book by Andrej Burkov https://github.com/ZakiaSalod/The-Hun... Book #4 - Python Machine Learning 2nd Edition by Sebastian Reschka https://github.com/rasbt/python-machi... Book #5 - Grokking Deep Learning by Andrew Trask https://github.com/ontiyonke/Free-Dee... Book #6 - Probabilistic Programming and Bayesian Methods for Hackers by Cameron Davidson https://github.com/CamDavidsonPilon/P... Book #7 - Doing Data Science: Straight Talk From The Frontline by Rachel Schutt https://github.com/SayantanMitra87/Da... Book #8 - Reinforcement Learning by Sutton and Barto http://incompleteideas.net/book/bookd... Book #9 - The Book of Why by Judea Pearl https://www.academia.edu/36682718/_Ju... Book #10 - Quantum Machine Learning by Peter Wittek https://doc.lagout.org/Others/Data%20...

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