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
Pattern Recognition and Machine Learning
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
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
Gaussian Processes for Machine Learning
- rationality
Active Inference: The Free Energy Principle in Mind, Brain, and Behavior
- Free Energy Principle
- Active inference
http://themlbook.com/wiki/doku.php "The Hundred-Page Machine Learning Book"