{"id":1103,"date":"2013-12-18T17:47:18","date_gmt":"2013-12-18T18:47:18","guid":{"rendered":"http:\/\/sites.uac.pt\/amendes\/?p=1103"},"modified":"2013-12-18T17:47:18","modified_gmt":"2013-12-18T18:47:18","slug":"machine-learning-mooc","status":"publish","type":"post","link":"https:\/\/sites.uac.pt\/amendes\/estatistica\/machine-learning-mooc\/","title":{"rendered":"Machine Learning MOOC"},"content":{"rendered":"<div id=\"attachment_1104\" style=\"width: 210px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/class.coursera.org\/ml-003\/lecture\/index\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-1104\" class=\"size-full wp-image-1104\" src=\"http:\/\/sites.uac.pt\/amendes\/files\/2013\/12\/university_logo.png\" alt=\"Um curso muito completo de machine learning\" width=\"200\" height=\"48\" \/><\/a><p id=\"caption-attachment-1104\" class=\"wp-caption-text\">Um curso muito completo de machine learning<\/p><\/div>\n<div>\n<div>\n<h2>About the Course<\/h2>\n<div>\n<p>Machine learning is the science of getting computers to act without being     explicitly programmed. In the past decade, machine learning has given us     self-driving cars, practical speech recognition, effective web search,     and a vastly improved understanding of the human genome. Machine learning     is so pervasive today that you probably use it dozens of times a day without     knowing it. Many researchers also think it is the best way to make progress     towards human-level AI. In this class, you will learn about the most effective     machine learning techniques, and gain practice implementing them and getting     them to work for yourself. More importantly, you&#8217;ll learn about not only     the theoretical underpinnings of learning, but also gain the practical     know-how needed to quickly and powerfully apply these techniques to new     problems. Finally, you&#8217;ll learn about some of Silicon Valley&#8217;s best practices     in innovation as it pertains to machine learning and AI.<\/p>\n<p>This course provides a broad introduction to machine learning, datamining,     and statistical pattern recognition. Topics include: (i) Supervised learning     (parametric\/non-parametric algorithms, support vector machines, kernels,     neural networks). (ii) Unsupervised learning (clustering, dimensionality     reduction, recommender systems, deep learning). (iii) Best practices in     machine learning (bias\/variance theory; innovation process in machine learning     and AI). The course will also draw from numerous case studies and applications,     so that you&#8217;ll also learn how to apply learning algorithms to building     smart robots (perception, control), text understanding (web search, anti-spam),     computer vision, medical informatics, audio, database mining, and other     areas.<\/p><\/div>\n<h2>FAQ<\/h2>\n<div>\n<div>\n<ul>\n<li><strong>What is the format of the class?<\/strong>The class will consist of lecture videos, which are broken into small                 chunks, usually between eight and twelve minutes each. Some of these may                 contain integrated quiz questions. There will also be standalone quizzes                 that are not part of video lectures, and programming assignments.<\/li>\n<li><strong>How much programming background is needed for the course?<\/strong>The course includes programming assignments and some programming background                 will be helpful.<\/li>\n<li><strong>Do I need to buy a textbook for the course?<\/strong>No, it is self-contained.<\/li>\n<li><strong>Will I get a statement of accomplishment after completing this class?<\/strong>Yes. Students who successfully complete the class will receive a statement                 of accomplishment signed by the instructor.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>About the Course Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens [&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":[103,102,105,128],"tags":[174,118,134,171],"class_list":["post-1103","post","type-post","status-publish","format-standard","hentry","category-data-mining","category-estatistica","category-materiais-ensino","category-videos","tag-big-data","tag-bioinformatica","tag-captura-de-conhecimento","tag-dw-bi"],"_links":{"self":[{"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/posts\/1103","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=1103"}],"version-history":[{"count":2,"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/posts\/1103\/revisions"}],"predecessor-version":[{"id":1106,"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/posts\/1103\/revisions\/1106"}],"wp:attachment":[{"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/media?parent=1103"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/categories?post=1103"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/tags?post=1103"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}