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
Deep Learning - Foundations as Concepts 2023 - Chris Bishop
- 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
Machine learning with neural networks
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
- license: non-commercial
Introduction to machine learning 2024
- License: CC-BY
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
- graph neural networks
Reinforcement learning: an introduction
- reinforcement learning
Artificial Neural Networks (springer link)
Bayesian Modeling and Computation in Python
- License: CC-NC
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
Introduction to Applied Linear Algebra
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
- 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
https://direct.mit.edu/books/oa-monograph/5372/The-Cortex-and-the-Critical-PointUnderstanding-the
https://hefferon.net/linearalgebra/
https://en.m.wikibooks.org/wiki/Artificial_Neural_Networks
- License: CC-BY
http://neuralnetworksanddeeplearning.com/index.html
- License: CC-NC
https://atcold.github.io/NYU-DLSP20/
https://christophm.github.io/interpretable-ml-book/
- interpretable ML
https://opentechbook.com/book/gaussian-processes-for-machine-learning/
- Gaussian Process
- (Bayesian)
https://opentechbook.com/book/the-principles-of-deep-learning-theory/
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/