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Artificial Intelligence (AI)

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

Contributions most welcome.

AI

Index

Online Courses

  • MIT Artifical Intelligence Videos - MIT AI Course
  • Intro to Artificial Intelligence - Learn the Fundamentals of AI. Course run by Peter Norvig
  • EdX Artificial Intelligence - The course will introduce the basic ideas and techniques underlying the design of intelligent computer systems
  • Artificial Intelligence Planning - Planning is a fundamental part of intelligent systems. In this course, for example, you will learn the basic algorithms that are used in robots to deliberate over a course of actions to take
  • Artificial Intelligence for Robotics - This class will teach you basic methods in Artificial Intelligence, including: probabilistic inference, planning and search, localization, tracking and control, all with a focus on robotics
  • Machine Learning - Basic machine learning algorithms for supervised and unsupervised learning
  • Neural Networks for Machine Learning - Algorithmic and practical tricks for artifical neural networks.
  • Stanford Statistical Learning - Introductory course on machine learning focusing on: linear 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.
  • Practical Deep Learning for Coders - Learn how to build state of the art models without needing graduate-level math and also without dumbing anything down.

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Books About Artificial Intelligence

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Programming

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Philosophy of AI

  • Superintelligence - Superintelligence asks the questions: What happens when machines surpass humans in general intelligence. A really great book.
  • Our Final Invention: Artificial Intelligence and the End of the Human Era - Our Final Invention explores the perils of the heedless pursuit of advanced AI. Until now, human intelligence has had no rival. Can we coexist with beings whose intelligence dwarfs our own? And will they allow us to?
  • How to Create a Mind: The Secret of Human Thought Revealed - Ray Kurzweil, director of engineering at Google, explored the process of reverse-engineering the brain to understand precisely how it works, then applies that knowledge to create vastly intelligent machines.
  • On Intelligence - Jeff Hawkins, develops a powerful theory of how the human brain works, explaining why computers are not intelligent and how, based on this new theory, we can finally build intelligent machines.

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Free Content

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Code

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Videos/Talks

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Learning

  • Deep Learning. Methods and Applications Free book from Microsoft Research
  • Neural Networks and Deep Learning - Neural networks and deep learning currently provide the best solutions to many problems in image recognition, speech recognition, and natural language processing. This book will teach you the core concepts behind neural networks and deep learning
  • Machine Learning: A Probabilistic Perspective - This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach
  • Deep Learning - Yoshua Bengio, Ian Goodfellow and Aaron Courville put together this currently free (and draft version) book on deep learning. The book is kept up-to-date and covers a wide range of topics in depth (up to and including sequence-to-sequence learning).

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Misc

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