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Reading List

Here you can find some of my preferred readings on AI 'n' ML

Deep Learning Books

Deep Learning
Ian Goodfellow, Yoshua Bengio and Aaron Courville
Click Here
Deep Learning for Computer Vision with Python
Adrian Rosebrock
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Neural Networks and Deep Learning
Michael Nielsen
Click Here
TinyML: Machine Learning With Tensorflow Lite on Arduino and Ultra-Low-Power Microcontrollers
Pete Warden & Daniel Situnayake
Click Here

Machine Learning & AI Books

Hands-On Machine Learning with Scikit-Learn & TensorFlow
Aurelien Geron
Click Here
Reinforcement Learning An Introduction (second edition)
Richard S. Sutton and Andrew G. Barto
Click Here
Artificial Intelligence: A Modern Approach
Stuart Russell & Peter Norvig
Click Here
Probably Approximately Correct
Leslie Valiant
Click Here

Miscellaneous Books

Practical Python and OpenCV
Adrian Rosebrock
Click Here
C e C++
Carlo A. Mazzone
Click Here
How Linux Works
Brian Ward
Click Here
But How Do It Know?
J.Clasrk Scott
Click Here
Infinite Powers: How Calculus Reveals the Secrets of the Universe
Steven Strogatz
Click Here
Python 3: Guida tascabile al linguaggio di Google, Star Wars e la NASA
Marco Beri
Click Here
Reti Domestiche
Pier Calderan
Click Here

Online Tutorials and Courses

TensorFlow Official Tutorial
Google
Click Here
FastAI
Jeremy Howard & Co.
Click Here
Deep Learning Specialization
Andrew Ng
Click Here
Machine Learning A-Z™: Hands-On Python & R In Data Science
Kirill Eremenko, Hadelin de Ponteves
Click Here
3Blue1Brown
Grant Sanderson
Click Here

© 2019 VittorioMazzia@VM – All rights reserved

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