Наткнулся на интересную ссылку: http://lukstafi.blogspot.ru/p/ai-university.html

Автор составил учебный план на основе курсов в свободном доступе

Наткнулся на интересную ссылку: http://lukstafi.blogspot.ru/p/ai-university.html Автор составил учебный план на основе курсов в свободном доступе

Вот список из статьи:

1 year:

2 year:

3 year:

4 year:

5 year:

Вот список из статьи: 1 year: - [Introduction to Logic](https://www.coursera.org/course/intrologic) by Michael Genesereth - [General Game Playing](https://www.coursera.org/course/ggp) by Michael Genesereth, also Michael Thielscher and Sam Schreiber -- at this point, take a quick tour by watching the (short and simple) lectures - [Probability Primer](https://www.youtube.com/playlist?list=PL17567A1A3F5DB5E4) by mathematicalmonk - [Calculus: Single Variable](https://www.coursera.org/course/calcsing) by Robert Ghrist - Algorithms, either one of: - [Algorithms: Design and Analysis](https://www.coursera.org/course/algo), [Part 2](https://www.coursera.org/course/algo2) by Tim Roughgarden - [Algorithms](https://www.coursera.org/course/algs4partI), [Part 2](https://www.coursera.org/course/algs4partII) by Kevin Wayne and Robert Sedgewick - [Introduction to Algorithms](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-introduction-to-algorithms-sma-5503-fall-2005/video-lectures/) by Charles Leiserson and Erik Demaine - [Functional Programming Principles in Scala](https://www.coursera.org/course/progfun) by Martin Odersky - [Machine Learning](https://www.coursera.org/course/ml) by Andrew Ng - Introduction to Cognitive Architectures seminar: - [Cognitive Architectures](http://www.youtube.com/watch?v=V0ul7YvAXI0) by Włodek Duch - [Clarion Tutorial](http://www.youtube.com/watch?v=vZ12yKBQg9I), [Clarion Part 2](http://www.youtube.com/watch?v=pxtwAq02vzc) by Michael Lynch - [The Soar Cognitive Architecture](http://www.youtube.com/watch?v=VM1PGpvCEHI) by Nate Debrinsky - [OpenCog](http://www.youtube.com/watch?v=qfwMV18is6M) by Ben Goertzel - [From Constructionist to Constructivist A.I.](http://www.youtube.com/watch?v=_Pmz4BcrPo0) by Kristinn R. Thórisson - [Deconstructing Reinforcement Learning in Sigma](http://www.youtube.com/watch?v=yLo_-yjBwpA), [Modeling Two-Player Games in the Sigma Graphical Cognitive Architecture](http://www.youtube.com/watch?v=sQDXXJ7Yjog) by Paul Rosenbloom - [Pursuing Artificial General Intelligence By Leveraging the Knowledge Capabilities Of ACT-R](http://www.youtube.com/watch?v=Pz9X0cbbQIo) by Alesandro Oltramari - [A Cognitive Architecture based on Dual Process Theory ](http://www.youtube.com/watch?v=hmGCFvaFUho)(perception vs. imagination) by Claes Strannegård - [Scientific Approaches to Consciousness](http://www.youtube.com/playlist?list=PL-XXv-cvA_iCn782RS__ZxZOafDB-Sze1) by John F. Kihlstrom 2 year: - [Probabilistic Graphical Models](https://www.coursera.org/course/pgm) by Daphne Koller - [Course on Information Theory, Pattern Recognition, and Neural Networks](http://videolectures.net/course_information_theory_pattern_recognition/) by David MacKay - [Introduction to Modal Logic](http://videolectures.net/ssll09_gore_iml/) by Rajeev P. Goré - [Introduction to Databases](https://www.coursera.org/course/db) by Jennifer Widom - [Learning From Data](http://work.caltech.edu/telecourse.html) by Yaser Abu-Mostafa (Machine Learning with elements of Statistical Learning Theory) - [Linear Algebra](http://ocw.mit.edu/courses/mathematics/18-06sc-linear-algebra-fall-2011/) by Gilbert Strang, also: - [Complex Analysis](https://www.coursera.org/course/complexanalysis) by Petra Bonfert-Taylor (optional) - [Differential Equations](http://ocw.mit.edu/courses/mathematics/18-03-differential-equations-spring-2010/video-lectures/) by Arthur Mattuck (optional) - [Introduction to Functional Analysis](http://ocw.mit.edu/courses/mathematics/18-102-introduction-to-functional-analysis-spring-2009/) by Richard Melrose (optional) - [Nonlinear Dynamics I: Chaos](http://ocw.mit.edu/courses/earth-atmospheric-and-planetary-sciences/12-006j-nonlinear-dynamics-i-chaos-fall-2006/lecture-notes/) by Daniel Rothman (optional) - [Differential Geometry](http://ocw.mit.edu/courses/mathematics/18-950-differential-geometry-fall-2008/) by Paul Seidel (optional) - The optional math classes are meant to be picked up later as your time allows. You should at least have basic familiarity with: complex numbers; calculus and differential equations; linear operators: matrix representation in various bases, nullspaces, orthogonal complement. - For a round number of courses, pick one more of the math courses above - [Introduction to Philosophy](http://onlinephilosophyclass.wordpress.com/philosophy-101/) by Richard Brown 3 year: - [Discrete Optimization](https://www.coursera.org/course/optimization) by Pascal Van Hentenryck - [Artificial Intelligence Planning](https://www.coursera.org/course/aiplan) by Gerhard Wickler and Austin Tate - [Introduction to Formal Languages, Automata and Computational Complexity](https://www.coursera.org/course/automata) by Jeff Ullman - Natural Language Processing, one of, or both: - [Dan Jurafsky and Christopher Manning](https://www.coursera.org/course/nlp) - [Michael Collins](https://www.coursera.org/course/nlangp) - Neural Networks - [Neural Networks](https://www.coursera.org/course/neuralnets) by Geoffrey Hinton - [Neural Networks class](http://www.youtube.com/playlist?list=PL6Xpj9I5qXYEcOhn7TqghAJ6NAPrNmUBH) by Hugo Larochelle - [Graphical Models and Variational Methods](http://videolectures.net/mlss04_bishop_gmvm/) by Christopher Bishop - Either: - [Machine Learning](http://see.stanford.edu/see/lecturelist.aspx?coll=348ca38a-3a6d-4052-937d-cb017338d7b1) (review and continuation) by Andrew Ng, or - [Introduction to Machine Learning](http://alex.smola.org/teaching/cmu2013-10-701/) by Alex Smola. - Skip over parts that you are confident to know already. - [Linear Dynamical Systems](http://see.stanford.edu/see/lecturelist.aspx?coll=17005383-19c6-49ed-9497-2ba8bfcfe5f6) by Stephen Boyd - [Computational Neuroscience](https://www.coursera.org/course/compneuro) by Rajesh P. N. Rao and Adrienne Fairhall 4 year: - [Game Theory](https://www.coursera.org/course/gametheory) by Kevin Leyton-Brown, Matthew O. Jackson and Yoav Shoham (optional) - [General Game Playing](https://www.coursera.org/course/ggp) by Michael Genesereth, also Michael Thielscher and Sam Schreiber -- at this point, treat it as a project course, build your own player using knowledge from other courses - [Convex Optimization](http://see.stanford.edu/see/lecturelist.aspx?coll=2db7ced4-39d1-4fdb-90e8-364129597c87) by Stephen Boyd (optional) - Reinforcement Learning -- sorry for redundancy with each other and with pieces in Andrew Ng, try to find your way - by [Csaba Szepesvári](http://videolectures.net/mlss08au_szepesvari_rele/), - by [Satinder Singh Baveja,](http://www.infocobuild.com/education/audio-video-courses/computer-science/reinforcement-learning-purdue.html) - [Foundations of Machine Learning](http://videolectures.net/mlss08au_hutter_fund/) by Marcus Hutter, - [Richard Sutton AGI 2010 Keynote Address](http://vimeo.com/16811494), [Part 2](http://vimeo.com/16811937) - [GQ(lambda)- A General Gradient Algorithm for Temporal-Difference Prediction Learning with Eligibility Traces](http://vimeo.com/15483963) by Hamid Reza Maei - [Abstract Algebra](http://www.extension.harvard.edu/open-learning-initiative/abstract-algebra) by Benedict Gross - [Overview of Automated Reasoning](http://videolectures.net/ssll09_baumgartner_oar/) by Peter Baumgartner - [Type Theory Foundations and Proof Theory Foundations](http://www.cs.uoregon.edu/research/summerschool/summer10/curriculum.html) by Robert Harper and Frank Pfenning respectively - [Ethics and Moral Issues](http://onlinephilosophyclass.wordpress.com/ethics-101/) by Richard Brown 5 year: - [Big Data, Large Scale Machine Learning](http://cilvr.cs.nyu.edu/doku.php?id=courses:bigdata:start) by John Langford and Yann LeCun - [Graduate Summer School: Deep Learning, Feature Learning](https://www.ipam.ucla.edu/schedule.aspx?pc=gss2012) at UCLA - [Statistical Learning Theory](http://videolectures.net/mlss04_taylor_slt/) by John Shawe-Taylor and [by Olivier Bousquet](http://videolectures.net/mlss03_bousquet_slt/) / [newer variant of Olivier's](http://videolectures.net/mlss07_bousquet_slt/) - [Practical Statistical Relational Learning](http://videolectures.net/icml07_domingos_psr/) by Pedro Domingos - [Online Learning, Regret Minimization, and Game Theory](http://videolectures.net/mlss08au_blum_org/) by Avrim Blum - [Introduction to Category Theory](http://ureddit.com/class/36451/introduction-to-category-theory) by error792 - [Computer Vision](http://crcv.ucf.edu/videos/Lecture_Videos/) by Mubarak Shah - Cognitive Architectures and Modeling Course -- perhaps some combination of these, but there is no good course online: - [Representations: Classes, Trajectories, Transitions](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-034-artificial-intelligence-fall-2010/lecture-videos/lecture-18-representations-classes-trajectories-transitions/) and - [Architectures: GPS, SOAR, Subsumption, Society of Mind](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-034-artificial-intelligence-fall-2010/lecture-videos/lecture-19-architectures-gps-soar-subsumption-society-of-mind/) by Patrick H. Winston, as introduction - [Cognitive Science and Machine Learning Summer School](http://videolectures.net/mlss2010_sardinia/) videos - [Cognitive Modeling](http://www.andrew.cmu.edu/course/85-412/readings.html) by John Anderson and T.A. Phil Pavlik - [Cognitive Modelling](http://www.inf.ed.ac.uk/teaching/courses/cm/lectures.html) by Sharon Goldwater - [AGI 2011 Architectures](http://www.youtube.com/watch?v=Rgjw8O3vLBs), [Part 2](http://www.youtube.com/watch?v=_K2nii4JIa0) and other AGI Conference presentation videos
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