Awesome Artificial Intelligence (AI) – By Owain Lewis; via @github

https://github.com/owainlewis/awesome-artificial-intelligence (CC-0)

Awesome Artificial Intelligence (AI) Awesome

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

Contributions most welcome.

Contents

  1. Courses
  2. Books
  3. Programming
  4. Philosophy
  5. Free Content
  6. Code
  7. Videos
  8. Learning
  9. Organizations
  10. Journals
  11. Competitions
  12. Movies
  13. Misc

AI

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.
  • Philosophy of Machine Learning – The courses of Fudan University for Machine Learning
  • Knowledge Based Artificial Intelligence – Georgia Tech’s course on Artificial Intelligence focussing on Symbolic AI.

Books

Programming

Philosophy

  • Super Intelligence – 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.
  • Minds, Brains, And Programs – The 1980 paper by philospher John Searle that contains the famous ‘Chinese Room’ thought experiment. Probably the most famous attack on the notion of a Strong AI possessing a ‘mind’ or a ‘consciousness’, and interesting reading for those interested in the intersection of AI and philosophy of mind.
  • Gödel, Escher, Bach: An Eternal Golden Braid – Written by Douglas Hofstadter and taglined “a metaphorical fugue on minds and machines in the spirit of Lewis Carroll”, this wonderful journey into the the fundamental concepts of mathematics,symmetry and intelligence won a Pulitzer Price for Non-Fiction in 1979. A major theme throughout is the emergence of meaning from seemingly ‘meaningless’ elements, like 1’s and 0’s, arranged in special patterns.

Free Content

Code

  • AIMA Lisp Source Code – Common Lisp source code for “Artificial Intelligence A Modern Approach”
  • FANN – Fast Artificial Neural Network Library, native for C

Videos

Learning

Organizations

Journals

Competitions

Movies

Misc

License

CC0

To the extent possible under law, Owain Lewis has waived all copyright and related or neighboring rights to this work.

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