Leonardo Araujo dos Santos has published an artificial intelligence book on Gitbook, in which he documented everything that he has learned on artificial intelligence and deep learning.
The online version of the book is interactive, meaning that the code is user friendly and can immediately be transposed into a code editor for practice/exercising purposes.
There is also a downloadable pdf version of the book, both of them (the online and the pdf) are available for free. The wonders of open education!
"This book will cover the basics needed to implement and understand your own Artificial Intelligence and Machine Learning library." [source]
Here are some of the major topics covered in the book:
- basics concepts of machine learning, deep learning, and AI
- reinforcement learning
- artificial neural networks
- back-propagation and feature extraction
- convolutional neural networks
- libraries for ML and DL (TensorFlow, PyTorch)
- and more.
I pinned this book into my browser's tabs because I'm excited to get through it and maybe get inspiration for my own machine learning and deep learning video tutorials. If this seems appealing to you as well, see the link below:
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Cristi Vlad Self-Experimenter and Author