{"id":1107,"date":"2013-12-19T11:05:23","date_gmt":"2013-12-19T12:05:23","guid":{"rendered":"http:\/\/sites.uac.pt\/amendes\/?p=1107"},"modified":"2013-12-19T11:05:23","modified_gmt":"2013-12-19T12:05:23","slug":"machine-learning","status":"publish","type":"post","link":"https:\/\/sites.uac.pt\/amendes\/data-mining\/machine-learning\/","title":{"rendered":"Machine Learning"},"content":{"rendered":"<div style=\"width: 118px\" class=\"wp-caption alignnone\"><a href=\"https:\/\/www.coursera.org\/course\/machlearning\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/d2wvvaown1ul17.cloudfront.net\/site-static\/pages\/home\/template\/logo.svg\" alt=\"Um bom curso video de machine learning\" width=\"108\" height=\"17\" \/><\/a><p class=\"wp-caption-text\">Um bom curso video de machine learning<\/p><\/div>\n<h2>About the Course<\/h2>\n<div>\n<div>Machine  learning algorithms can figure out how to perform important tasks by  generalizing from examples. This is often feasible and cost-effective  when manual programming is not. Machine learning (also known as data  mining, pattern recognition and predictive analytics) is used widely in  business, industry, science and government, and \u00a0there is a great  shortage of experts in it. If you pick up a machine learning textbook  you may find it forbiddingly mathematical, but in this class you will  learn that the key ideas and algorithms are in fact quite intuitive. And  powerful!<\/div>\n<div>Most of the class will be devoted to  supervised learning (in other words, learning in which a teacher  provides the learner with the correct answers at training time). This is  the most mature and widely used type of machine learning. We will cover  the main supervised learning techniques, including decision trees,  rules, instances, Bayesian techniques, neural networks, model ensembles,  and support vector machines. We will also touch on learning theory with  an emphasis on its practical uses. Finally, we will cover the two main  classes of unsupervised learning methods: clustering and dimensionality  reduction. Throughout the class there will be an emphasis not just on  individual algorithms but on ideas that cut across them and tips for  making them work.<\/div>\n<div>In the class projects you  will build your own implementations of machine learning algorithms and  apply them to problems like spam filtering, clickstream mining,  recommender systems, and computational biology. This will get you as  close to becoming a machine learning expert as you can in ten weeks!<\/div>\n<\/div>\n<h2 style=\"clear:both\">Course Syllabus<\/h2>\n<div>\n<div>Week One: Basic concepts in machine learning.<\/div>\n<div>Week Two: Decision tree induction.<\/div>\n<div>Week Three: Learning sets of rules and logic programs.<\/div>\n<div>Week Four: Instance-based learning.<\/div>\n<div>Week Five: Statistical learning.<\/div>\n<div>Week Six: Neural networks.<\/div>\n<div>Week Seven: Model ensembles.<\/div>\n<div>Week Eight: Learning theory.<\/div>\n<div>Week Nine: Support vector machines.<\/div>\n<div>Week Ten: Clustering and dimensionality reduction.<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>About the Course Machine learning algorithms can figure out how to perform important tasks by generalizing from examples. This is often feasible and cost-effective when manual programming is not. Machine learning (also known as data mining, pattern recognition and predictive analytics) is used widely in business, industry, science and government, and \u00a0there is a great [&hellip;]<\/p>\n","protected":false},"author":159,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[103,105,128],"tags":[171],"class_list":["post-1107","post","type-post","status-publish","format-standard","hentry","category-data-mining","category-materiais-ensino","category-videos","tag-dw-bi"],"_links":{"self":[{"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/posts\/1107","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/users\/159"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/comments?post=1107"}],"version-history":[{"count":2,"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/posts\/1107\/revisions"}],"predecessor-version":[{"id":1109,"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/posts\/1107\/revisions\/1109"}],"wp:attachment":[{"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/media?parent=1107"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/categories?post=1107"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/tags?post=1107"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}