FYI
Section: Deep Learning
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Appears in 4 awesome lists
Interactive deep learning book with code implementations
Section: Deep Learning
Section: Open Access Educational Materials · Interactive deep learning book with code implementations
Section: Books
Section: Machine Learning
This book covers many of the core concepts behind neural networks and deep learning.
Practical Deep Learning for Coders 2022 is a free course offering hands-on experience in building, training, and deploying deep learning models across various domains using tools like PyTorch and fastai, suitable for those with coding knowledge and without the need for advanced math.
New series of 5 Deep Learning courses by Andrew Ng, now with Python rather than Matlab/Octave, and which leads to a specialization certificate.
Full text of the "Python Data Science Handbook" in Jupyter Notebooks.
bt Tiago MOnteiro | A free FreeCodeCamp book teaching the math behind AI in plain English from an engineering point of view. It covers linear algebra, calculus, probability & statistics, and optimization theory with analogies, real-life applications, and Python code examples.
Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani.
Mathematical foundations by Ian Goodfellow, Yoshua Bengio, and Aaron Courville.
This book will teach you how to do data science with R. You will learn how to get your data into R, get it into the most useful structure, transform it, visualize it and model it. Exercise Solutions Authors: Garrett Grolemund and Hadley Wickham.