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awesome-artificial-intelligence
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers
https://github.com/eric-erki/awesome-artificial-intelligence
Last synced: about 12 hours ago
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Philosophy
- Super Intelligence - Superintelligence asks the questions: What happens when machines surpass humans in general intelligence. A really great book.
- 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?
- 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.
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Books
- Paradigms Of Artificial Intelligence Programming: Case Studies in Common Lisp - Paradigms of AI Programming is the first text to teach advanced Common Lisp techniques in the context of building major AI systems
- The Cambridge Handbook Of Artificial Intelligence - Written for non-specialists, it covers the discipline's foundations, major theories, and principal research areas, plus related topics such as artificial life
- Artificial Intelligence: A New Synthesis - Beginning with elementary reactive agents, Nilsson gradually increases their cognitive horsepower to illustrate the most important and lasting ideas in AI
- Reinforcement Learning: An Introduction - This introductory textbook on reinforcement learning is targeted toward engineers and scientists in artificial intelligence, operations research, neural networks, and control systems, and we hope it will also be of interest to psychologists and neuroscientists.
- list of recommended reading
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Programming
- Prolog Programming For Artificial Intelligence - This best-selling guide to Prolog and Artificial Intelligence concentrates on the art of using the basic mechanisms of Prolog to solve interesting AI problems.
- Python for Artificial Intelligence
- Python Tools for Machine Learning
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Organizations
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Journals
- International Journal on Artificial Intelligence Tools
- Electronic Transactions on Artificial Intelligence
- International Journal of Intelligent Systems
- Computational Intelligence
- AI & Society
- Annals of Mathematics and Artifical Intelligence
- Applicable Algebra in Engineering, Communication and Computing
- Applied Intelligence
- Artificial Intelligence Review
- Automated Software Engineering
- Autonomous Agents and Multi-Agent Systems
- Computational and Mathematical Organization Theory
- Evolutionary Intelligence
- Intelligent Industrial Systems
- Journal of Automated Reasoning
- Journal on Data Semantics
- Journal of Intelligent Information Systems
- Minds and Machines
- Progress in Artificial Intelligence
- EXPERT—IEEE Intelligent Systems
- AI Communications
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Competitions
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Movies
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Misc
- AIResources - Directory of open source software and open access data for the AI research community
- Open Cognition Project - We're undertaking a serious effort to build a thinking machine
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Courses
- MIT Artifical Intelligence Videos - MIT AI Course
- Grokking Deep Learning in Motion - Beginner's course to learn deep learning and neural networks without frameworks.
- Intro to Artificial Intelligence - Learn the Fundamentals of AI. Course run by Peter Norvig
- Machine Learning - Basic machine learning algorithms for supervised and unsupervised learning
- Deep Learning - An Introductory course to the world of Deep Learning.
- 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.
- Deep RL Bootcamp Lectures - Deep Reinforcement Bootcamp Lectures - August 2017
- Knowledge Based Artificial Intelligence - Georgia Tech's course on Artificial Intelligence focussing on Symbolic AI.
- Neural Networks For Machine Learning - Algorithmic and practical tricks for artifical neural networks.
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Learning
- 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).
- Deep Learning.net - Aggregation site for DL resources
- Awesome Machine Learning - Like this Github, but ML-focused
- FastML
- Awesome Deep Learning Resources - Rough list of learning resources for Deep Learning
- Professional and In-Depth Machine Learning Video Courses - A collection of free professional and in depth Machine Learning and Data Science video tutorials and courses
- Professional and In-Depth Artificial Intelligence Video Courses - A collection of free professional and in depth Artificial Intelligence video tutorials and courses
- Professional and In-Depth Deep Learning Video Courses - A collection of free professional and in depth Deep Learning video tutorials and courses
- Introduction to Machine Learning - Introductory level machine learning crash course
- Machine Learning Mastery
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Free Content
- Artificial Intelligence and Molecular Biology - The current volume is an effort to bridge that range of exploration, from nucleotide to abstract concept, in contemporary AI/MB research.
- Brief Introduction To Educational Implications Of Artificial Intelligence - This book is designed to help preservice and inservice teachers learn about some of the educational implications of current uses of Artificial Intelligence as an aid to solving problems and accomplishing tasks.
- Encyclopedia: Computational intelligence - Scholarpedia is a peer-reviewed open-access encyclopedia written and maintained by scholarly experts from around the world.
- Foundations Of Computational Agents - This book is published by Cambridge University Press, 2010
- The Quest For Artificial Intelligence - This book traces the history of the subject, from the early dreams of eighteenth-century (and earlier) pioneers to the more successful work of today's AI engineers.
- Stanford CS229 - Machine Learning - This course provides a broad introduction to machine learning and statistical pattern recognition.
- Computers and Thought: A practical Introduction to Artificial Intelligence - The book covers computer simulation of human activities, such as problem solving and natural language understanding; computer vision; AI tools and techniques; an introduction to AI programming; symbolic and neural network models of cognition; the nature of mind and intelligence; and the social implications of AI and cognitive science.
- Society of Mind - Marvin Minsky's seminal work on how our mind works. Lot of Symbolic AI concepts have been derived from this basis.
- Ethical Artificial Intelligence - a book by Bill Hibbard that combines several peer reviewed papers and new material to analyze the issues of ethical artificial intelligence.
- Golden Artificial Intelligence - a cluster of pages on artificial intelligence and machine learning.
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Code
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Videos
- The Unreasonable Effectiveness Of Deep Learning - The Director of Facebook's AI Research, Dr. Yann LeCun gives a talk on deep convolutional neural networks and their applications to machine learning and computer vision
- Intelligent agents and paradigms for AI
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