Here is a collection of tutorials, books, video lectures and essays on AI.
You are welcome to provide more information. Online Tutorial mit ai Video Tutorials – The MIT AI Course Artificial Intelligence primer – Artificial Intelligence basic learning. Peter Norvig Courses EdX Artificial Intelligence – This course teaches the basic concepts and techniques of artificial intelligence computer systems design. Planning in artificial intelligence-planning is one of the fundamental parts of artificial intelligence systems. In this lesson, you will learn the basic algorithms needed to get a robot to perform a series of actions. Robot Artificial Intelligence – This course will teach you the basics of artificial intelligence, including: probabilistic projections, planning and search, localization, tracking, and control, all around the design of the robot. Machine learning-basic machine learning algorithms with guidance and no guidance the neural network in machine learning-algorithms and practical experience on intelligent neural Networks Stanford Statistical Learning-introductory Course on machine learning focusing on:line Ar and polynomial regression, logistic regression and linear discriminant analysis; Cross-validation and the bootstrap, model selection and regularization methods (ridge and Lasso); Nonlinear models, splines and generalized additive models; tree-based methods, random forests and boosting; Support-vector machines. AI Books Artificial Intelligence: A modern Method Stuart Russell & Peter Norvig
The Cambridge Handbook of Artificial intelligence– is suitable for non-professionals to read, covering basic principles, major theories and major research areas, as well as related topics such as artificial life. The emotion machine:commonsense thinking, Artificial Intelligence, and the Future of the Human mind– in this book that makes the brain hole open, technology pioneer His highly creative research has presented us with a new and incredible mode of human brain operation. Artificial intelligence:a new synthesis– from the particle reaction, Nilsson gradually showed us the most important and newest concepts in artificial intelligence.
Programming Prolog programming for Artificial intelligence– this best-selling book for Prolog and AI focuses on the basic mechanism for solving interesting AI problems using the Proglog language program.
AI algorithms, Data structures and idioms in Prolog, Lisp and java–pdf here
The principle of artificial intelligence superintelligence– in the book: If machines are smarter than humans would be. It's a very good book. Free reading foundations of computational agents– This book was published by Cambridge University Press in 2010. The Quest for Artificial intelligence– The book reviews the history of artificial intelligence, from the early 18th century ancestors ' dreams to today's many successful AI technologies. Program code
Aima Lisp Source code– "Artificial Intelligence a modern approach" in the Book of the Common Lisp code.
Video/Speech
The unreasonable effectiveness of Deep learning–dr. Yann lecun--, director of the Facebook AI research, gave us an in-depth explanation of artificial intelligence neural networks and their application to machine learning.
Machine learning
Deep Learning. Methods and applications are free readings from Microsoft Labs.