This is a collection of free e-books about Artificial Intelligence(Machine Learning, Planning) and Data Science etc. .
ML, ebook, ebooks, books, book, machine learning, statistics, free
Understanding Deep Learning 2023
- good book
- has chapters about attention and transformers
Mathematics for Machine Learning
Deep Learning by Ian Goodfellow and Yoshua Bengio and Aaron Courville
Pattern Recognition and Machine Learning
The Elements of Statistical Learning: Data Mining, Inference, and Prediction 2009
https://web.stanford.edu/~jurafsky/slp3/ -> Speech and Language Processing - An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition
Neural Networks - A Systematic Introduction
http://mmds.org/#ver21 -> Mining of Massive Datasets 2014
(The principles of deep learning theory)[https://arxiv.org/abs/2106.10165]
https://www.statlearning.com/ -> An Introduction to Statistical Learning with Applications in R 2014
Deep Learning 2015
[https://www.intechopen.com/books/6187](Advanced Applications for Artificial Neural Networks)
Bayesian Methods for Statistical Analysis
- how to design neural networks
Understanding Machine Learning: From Theory to Algorithms 2014
Neural Networks and Deep Learning
Graph Representation Learning 2020 - William L. Hamilton
Reinforcement learning: an introduction
- reinforcement learning
Artificial Neural Networks (springer link)
Handbook of Digital Face Manipulation and Detection computer vision
Computer Vision: Algorithms and Applications, 2nd ed.
Neural-Symbolic Cognitive Reasoning
An Introduction to Datascience
Information Theory, Inference, and Learning Algorithms
A Programmer's Guide to Data Mining
Machine Learning – The Complete Guide
A collection of wikipeda articles as a book about Machine Learning
Bayesian Reasoning and Machine Learning 2012
Information Theory, Inference and Learning Algorithms 2003
Neural Networks - A Systematic Introduction
Understanding Machine Learning: From Theory to Algorithms by Shai Shalev-Shwartz and Shai Ben-David
Natural Language Processing with Python
A Brief Introduction to Neural Networks
Search and Optimization by Metaheuristics 2016
Doing Bayesian Data Analysis: A Tutorial with R and BUGS
- bayesian data analysis
Nature-Inspired Optimizers - Theories, Literature Reviews and Applications
Nature-Inspired Computing and Optimization
Deep Learning in Natural Language Processing
Soft Computing for Knowledge Discovery and Data Mining
Graphical Models, Exponential Families, and Variational Inference
Computer Vision: Models, Learning, and Inference 2012
- computer vision
Artificial Intelligence 2e - foundations of computational agents
https://www.marl-book.com/download/marl-book.pdf
- RL > multi Agent RL
Machine Learning Engineering Open Book
- License: CC-BY-SA-4.0 license
- rationality
https://direct.mit.edu/books/oa-monograph/5299/Active-InferenceThe-Free-Energy-Principle-in-Mind
TODO integrate https://dlabs.ai/blog/free-ebooks-on-artificial-intelligence-to-read/
TODO integrate https://towardsdatascience.com/list-of-free-must-read-machine-learning-books-89576749d2ff
TODO integrate https://www.globalsqa.com/free-machine-learning-ebooks/