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Learning

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* [[Planning]]
* [[Reinforcement Learning]]
* [[Supervised Learning]]
* [[Temporal Difference Learning]]
<span id="Programs"></span>
* [https://en.wikipedia.org/wiki/Data_mining Data mining from Wikipeadia]
* [https://en.wikipedia.org/wiki/Ensemble_learning Ensemble learning from Wikipedia]
** [https://en.wikipedia.org/wiki/Bootstrap_aggregating Bootstrap aggregating from Wikipedia]
* [https://en.wikipedia.org/wiki/Explanation-based_learning Explanation-based learning from Wikipedia]
* [https://en.wikipedia.org/wiki/Meta_learning_%28computer_science%29 Meta Learning from Wikipedia]
* [http://www.scholarpedia.org/article/Category:Supervised_learning Category: Supervised learning - Scholarpedia]
* [https://en.wikipedia.org/wiki/Boosting_%28machine_learning%29 Boosting (machine learning) from Wikipedia]
: ** [https://en.wikipedia.org/wiki/AdaBoost AdaBoost from Wikipedia]
* [https://en.wikipedia.org/wiki/Computational_learning_theory Computational learning theory from Wikipedia]
* [https://en.wikipedia.org/wiki/Support_vector_machine Support vector machine from Wikipedia]
* [https://en.wikipedia.org/wiki/Statistical_learning_theory Statistical learning theory from Wikipedia]
* [https://en.wikipedia.org/wiki/Statistical_classification Statistical classification from Wikipedia]
: ** [https://en.wikipedia.org/wiki/Naive_Bayes_classifier Naive Bayes classifier from Wikipedia]: ** [https://en.wikipedia.org/wiki/Probabilistic_classification Probabilistic classification from Wikipedia]
* [https://en.wikipedia.org/wiki/Statistical_mechanics Statistical mechanics from Wikipedia]
* [https://en.wikipedia.org/wiki/Bayesian_network Bayesian network from Wikipedia]
* [https://en.wikipedia.org/wiki/Mean_squared_error Mean squared error from Wikipedia]
* [https://en.wikipedia.org/wiki/Regression_analysis Regression analysis from Wikipedia]
: ** [https://en.wikipedia.org/wiki/Outline_of_regression_analysis Outline of regression analysis from Wikipedia]: ** [https://en.wikipedia.org/wiki/Linear_regression Linear regression from Wikipedia]: ** [https://en.wikipedia.org/wiki/Logistic_regression Logistic regression from Wikipedia]
* [https://en.wikipedia.org/wiki/Probability Probability from Wikipedia]
* [https://en.wikipedia.org/wiki/Probability_theory Probability theory from Wikipedia]
* [https://en.wikipedia.org/wiki/Probability_density_function Probability density function from Wikipedia]
* [https://en.wikipedia.org/wiki/Probability_distribution Probability distribution from Wikipedia]
: ** [https://en.wikipedia.org/wiki/Normal_distribution Normal distribution from Wikipedia]
* [https://en.wikipedia.org/wiki/Probability_measure Probability measure from Wikipedia]
* [https://en.wikipedia.org/wiki/Probability_space Probability space from Wikipedia]
* [https://en.wikipedia.org/wiki/Pseudorandomness Pseudorandomness from Wikipedia]
: ** [https://en.wikipedia.org/wiki/Pseudorandom_number_generator Pseudorandom number generator from Wikipedia]: ** [https://en.wikipedia.org/wiki/Pseudo-random_number_sampling Pseudo-random number sampling from Wikipedia]
* [https://en.wikipedia.org/wiki/Randomness Randomness from Wikipedia]
: ** [https://en.wikipedia.org/wiki/Statistical_randomness Statistical randomness from Wikipedia]
* [https://en.wikipedia.org/wiki/Vapnik%E2%80%93Chervonenkis_theory Vapnik–Chervonenkis theory from Wikipedia]
* [https://en.wikipedia.org/wiki/VC_dimension VC dimension from Wikipedia]
* [http://www.scholarpedia.org/article/Hopfield_network Hopfield network - Scholarpedia]
* [https://en.wikipedia.org/wiki/Long_short_term_memory Long short term memory from Wikipedia]
'''Blogs'''
* [https://theneural.wordpress.com/ Neural Networks Blog] by [[Ilya Sutskever]]
* [http://dynamicnotions.blogspot.com/ Dynamic Notions] by [http://www.blogger.com/profile/07894297206547597169 John Wakefield] , a Blog about the evolution of neural networks with [[C sharp|C#]] samples:
: [http://dynamicnotions.blogspot.com/2008/09/single-layer-perceptron.html The Single Layer Perceptron]
: [http://dynamicnotions.blogspot.com/2008/09/hidden-neurons-and-feature-space.html Hidden Neurons and Feature Space]
: [http://dynamicnotions.blogspot.com/2008/09/training-neural-networks-using-back.html Training Neural Networks Using Back Propagation in C#]
: [http://dynamicnotions.blogspot.com/2008/09/data-mining-with-artificial-neural.html Data Mining with Artificial Neural Networks (ANN)]
* [http://www.welchlabs.com/blog Blog - Welch Labs]
==Courses==
* [http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html Advanced Topics: RL] by [[David Silver]]
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