{"id":10892,"date":"2020-04-10T09:45:50","date_gmt":"2020-04-10T09:45:50","guid":{"rendered":"http:\/\/blog.bachi.net\/?p=10892"},"modified":"2020-04-10T09:45:50","modified_gmt":"2020-04-10T09:45:50","slug":"youtube-bert-huangs-machine-learning-and-ai","status":"publish","type":"post","link":"https:\/\/blog.bachi.net\/?p=10892","title":{"rendered":"YouTube: Bert Huang&#8217;s Machine Learning and AI"},"content":{"rendered":"<h3>Fall 2015 Machine Learning<\/h3>\n<p><a href=\"https:\/\/www.youtube.com\/playlist?list=PLUenpfvlyoa0rMoE5nXA8kdctBKE9eSob\">Fall 2015 Machine Learning<\/a><\/p>\n<ul>\n<li>1.1 Machine Learning<\/li>\n<li>Types of Machine Learning<\/li>\n<li>Model Selection in Machine Learning<\/li>\n<li>2 Probability and Naive Bayes<\/li>\n<li>3 Decision Trees<\/li>\n<li>4 Logistic Regression<\/li>\n<li>5 Perceptron<\/li>\n<li>Neural Networks<\/li>\n<li>7 Learning Objective Functions<\/li>\n<li>Back Propagation<\/li>\n<li>9 Support Vector Machines<\/li>\n<li>10 Dual SVM and Kernels<\/li>\n<li>11 Feature Maps and Kernels<\/li>\n<li>12 SMO and Stochastic SVM<\/li>\n<li>13 Regression<\/li>\n<li>14 Principal Component Analysis<\/li>\n<li>15 Clustering and Mixture Models<\/li>\n<li>16 Variational EM and K Means<\/li>\n<li>15.1 GMM Degeneracy<\/li>\n<li>17 Probabilistic Graphical Models and Bayesian Networks<\/li>\n<li>Markov Models<\/li>\n<li>Hidden Markov Models<\/li>\n<li>Undirected Graphical Models<\/li>\n<li>Belief Propagation<\/li>\n<li>Graphical Models Wrap up<\/li>\n<li>What is Learning Theory?<\/li>\n<li>Model Complexity and VC Dimension<\/li>\n<li>Fairness in Machine Learning<\/li>\n<li>The Queen is King | Magnus Carlsen vs Fabiano Caruana | Norway Chess 2018<\/li>\n<\/ul>\n<h3>CS4804 Intro to AI, Fall 2016<\/h3>\n<p><a href=\"https:\/\/www.youtube.com\/playlist?list=PLUenpfvlyoa1iiSbGy9BBewgiXjzxVgBd\">CS4804 Intro to AI, Fall 2016<\/a><\/p>\n<ul>\n<li>Intelligent Agents<\/li>\n<li>Intro to Search<\/li>\n<li>Informed Search<\/li>\n<li>A* Optimality<\/li>\n<li>Pruning (Alpha-Beta)<\/li>\n<li>Probability Basics<\/li>\n<li>More Realistic Adversarial Settings<\/li>\n<li>Markov Decision Processes<\/li>\n<li>Passive Reinforcement Learning<\/li>\n<li>Active Reinforcement Learning<\/li>\n<li>Logic<\/li>\n<li>First Order Logic Overview<\/li>\n<li>Bayesian Networks<\/li>\n<li>Markov Models<\/li>\n<li>Hidden Markov Models<\/li>\n<li>Particle Filters<\/li>\n<li>Types of Machine Learning<\/li>\n<li>Model Selection in Machine Learning<\/li>\n<li>Neural Networks<\/li>\n<li>Back Propagation<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Fall 2015 Machine Learning Fall 2015 Machine Learning 1.1 Machine Learning Types of Machine Learning Model Selection in Machine Learning 2 Probability and Naive Bayes 3 Decision Trees 4 Logistic Regression 5 Perceptron Neural Networks 7 Learning Objective Functions Back Propagation 9 Support Vector Machines 10 Dual SVM and Kernels 11 Feature Maps and Kernels [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-10892","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/blog.bachi.net\/index.php?rest_route=\/wp\/v2\/posts\/10892","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.bachi.net\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.bachi.net\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.bachi.net\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.bachi.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=10892"}],"version-history":[{"count":1,"href":"https:\/\/blog.bachi.net\/index.php?rest_route=\/wp\/v2\/posts\/10892\/revisions"}],"predecessor-version":[{"id":10893,"href":"https:\/\/blog.bachi.net\/index.php?rest_route=\/wp\/v2\/posts\/10892\/revisions\/10893"}],"wp:attachment":[{"href":"https:\/\/blog.bachi.net\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=10892"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.bachi.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=10892"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.bachi.net\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=10892"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}