Free Online Resources for Artificial Intelligence, Machine Learning, and Deep Learning
Description
Textbooks in the fields of artificial intelligence, machine learning, and deep learning are often freely available on the internet. Even in the case of well-known textbooks, there are quite a few that are freely accessible. Here are a few introductions.
List
Pattern Recognition and Machine Learning (Link)
Authored by Christopher Bishop, this book is also well-known as PRML. The Korean translation title is “패턴 인식과 머신 러닝.”
The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Link)
Written by Trevor Hastie, Robert Tibshirani, and Jerome Friedman, this book is commonly abbreviated as ESL.
Reinforcement Learning: An Introduction (Link)
This book by Professor Richard S. Sutton and Andrew G. Barto is considered a bible in the field of reinforcement learning. The Korean translation title is “단단한 강화학습.”
Neural networks and learning machines (Link)
Authored by Professor Simon Haykin, who is said to be renowned in electrical engineering and signal processing. As the title suggests, it mainly deals with neural networks rather than classical machine learning.