10 books to learn Machine Learning

The Founder of school of AI and famous Youtubber Siraj Raval expressed the way to approach machine learning can be done through books.he tooks ten books to get an idea towards the big thing.

Machine Learning is a not a programming thing but a math that derives the programming to be made on its own.

Python usage on Machine Learning is very extensive but in reality Python has many math packages to support probability and statistics to evolve machine learning process.

We already expressed the view of dimensions and tensorflow concept to prove machine learning is math.

The Books for Learning Machine Learning with more perspective of what it can do in a simple way are found here.

Check it out.

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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