{"id":2153,"date":"2019-05-16T16:00:00","date_gmt":"2019-05-16T16:00:00","guid":{"rendered":"https:\/\/www.aiproblog.com\/index.php\/2019\/05\/16\/three-new-machine-learning-courses\/"},"modified":"2019-05-16T16:00:00","modified_gmt":"2019-05-16T16:00:00","slug":"three-new-machine-learning-courses","status":"publish","type":"post","link":"https:\/\/www.aiproblog.com\/index.php\/2019\/05\/16\/three-new-machine-learning-courses\/","title":{"rendered":"Three new machine learning courses"},"content":{"rendered":"<p>Author: <\/p>\n<div>\n<div class=\"block-paragraph\">\n<div class=\"rich-text\">\n<p>Many years ago, I took a dance lesson in Budapest to learn the cs\u00e1rd\u00e1s, a Hungarian folk dance. The instructor shouted directions to me in enthusiastic Hungarian, a language I didn&#8217;t understand, yet I still learned the dance by mimicking the instructor and the expert students. Now, I do love clear directions in a lesson\u2014I am a technical writer, after all\u2014but it\u2019s remarkable what a person can learn by emulating the experts. \u00a0<\/p>\n<p><\/p>\n<p>In fact, you can learn a lot about machine learning by emulating the experts. That\u2019s why we\u2019ve teamed with ML experts to create online courses to help researchers, developers, and students. Here are three new courses:<\/p>\n<ul>\n<li><a href=\"https:\/\/developers.google.com\/machine-learning\/clustering\/?utm_source=keyword-blog&#038;utm_medium=referral&#038;utm_campaign=self-studies&#038;utm_term=&#038;utm_content=clustering\">Clustering<\/a>: Introduces clustering techniques, which help find patterns and related groups in complex data. This course focuses on k-means, which is the most popular clustering algorithm. Although k-means is relatively easy to understand, defining similarity measures for k-means is challenging and fascinating.<\/li>\n<li><a href=\"https:\/\/developers.google.com\/machine-learning\/recommendation\/?utm_source=keyword-blog&#038;utm_medium=referral&#038;utm_campaign=self-studies&#038;utm_term=&#038;utm_content=rec-systems\">Recommendation Systems<\/a>: Teaches you how to create ML models that suggest relevant content to users, leveraging the experiences of Google&#8217;s recommendation system experts. You&#8217;ll discover both content-based and collaborative filtering, and uncover the mathematical alchemy of matrix factorization. To get the most out of this course, you&#8217;ll need at least a little background in linear algebra.<\/li>\n<li><a href=\"https:\/\/developers.google.com\/machine-learning\/testing-debugging\/?utm_source=keyword-blog&#038;utm_medium=referral&#038;utm_campaign=self-studies&#038;utm_term=&#038;utm_content=testing-and-debugging\">Testing and Debugging<\/a>: Explains the tricks that Google&#8217;s ML experts use to test and debug ML models. Google&#8217;s ML experts have spent thousands of hours deciphering the signals that faulty ML models emit. Learn from their mistakes.\u00a0 \u00a0\u00a0<\/li>\n<\/ul>\n<p>These new courses are engaging, practical, and helpful. They build on a series of courses we released last year, starting with <a href=\"https:\/\/developers.google.com\/machine-learning\/crash-course\/?utm_source=keyword-blog&#038;utm_medium=referral&#038;utm_campaign=self-studies&#038;utm_term=&#038;utm_content=MLCC\">Machine Learning Course Crash<\/a> (MLCC), which teaches the fundamentals of ML. If you enjoyed MLCC, you&#8217;re ready for these new courses. They will push you to think differently about the way you approach your work. Take these courses to copy the moves of the world&#8217;s best ML experts.<\/p>\n<p><\/p>\n<\/div>\n<\/div>\n<\/div>\n<p><a href=\"https:\/\/www.blog.google\/technology\/ai\/three-new-machine-learning-courses\/\">Go to Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Author: Many years ago, I took a dance lesson in Budapest to learn the cs\u00e1rd\u00e1s, a Hungarian folk dance. The instructor shouted directions to me [&hellip;] <span class=\"read-more-link\"><a class=\"read-more\" href=\"https:\/\/www.aiproblog.com\/index.php\/2019\/05\/16\/three-new-machine-learning-courses\/\">Read More<\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":460,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[24],"tags":[],"_links":{"self":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/2153"}],"collection":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/comments?post=2153"}],"version-history":[{"count":0,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/2153\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media\/458"}],"wp:attachment":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media?parent=2153"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/categories?post=2153"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/tags?post=2153"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}