{"id":2240,"date":"2019-06-07T06:30:15","date_gmt":"2019-06-07T06:30:15","guid":{"rendered":"https:\/\/www.aiproblog.com\/index.php\/2019\/06\/07\/machine-learning-and-data-science-cheat-sheet\/"},"modified":"2019-06-07T06:30:15","modified_gmt":"2019-06-07T06:30:15","slug":"machine-learning-and-data-science-cheat-sheet","status":"publish","type":"post","link":"https:\/\/www.aiproblog.com\/index.php\/2019\/06\/07\/machine-learning-and-data-science-cheat-sheet\/","title":{"rendered":"Machine Learning and Data Science Cheat Sheet"},"content":{"rendered":"<p>Author: Vincent Granville<\/p>\n<div>\n<p>You can download the new machine learning cheat sheet\u00a0<a href=\"https:\/\/storage.ning.com\/topology\/rest\/1.0\/file\/get\/2802144811?profile=original\" target=\"_blank\" rel=\"noopener noreferrer\">here<\/a>\u00a0(PDF format, 14 pages.)\u00a0<\/p>\n<p>Originally published in 2014 and viewed more than 200,000 times, this is the oldest data science cheat sheet &#8211; the mother of all the numerous cheat sheets that are so popular nowadays. I decided to update it in June 2019. While the first half, dealing with installing components on your laptop and learning UNIX, regular expressions, and file management hasn&#8217;t changed much, the second half, dealing with machine learning, was rewritten entirely from scratch. It is amazing how things have changed in just five years!<\/p>\n<p><a href=\"https:\/\/storage.ning.com\/topology\/rest\/1.0\/file\/get\/2802121201?profile=original\" target=\"_blank\" rel=\"noopener noreferrer\"><img decoding=\"async\" src=\"https:\/\/storage.ning.com\/topology\/rest\/1.0\/file\/get\/2802121201?profile=RESIZE_710x\" class=\"align-center\"><\/a><\/p>\n<p style=\"text-align: center;\"><em>Source for picture: see <a href=\"https:\/\/www.slideshare.net\/ratulalahy\/regression-vs-deep-neural-net-vs-svm\" target=\"_blank\" rel=\"noopener noreferrer\">here<\/a> (original) or\u00a0<a href=\"https:\/\/storage.ning.com\/topology\/rest\/1.0\/file\/get\/2802123344?profile=original\" target=\"_blank\" rel=\"noopener noreferrer\">here<\/a>\u00a0(PDF)<\/em><\/p>\n<p>Written for people who have never seen a computer in their life, it starts with the very beginning: buying a laptop! You can skip the first half and jump to sections 5 and 6 if you are already familiar with UNIX. This new cheat sheet will be included in my upcoming book <em>Machine Learning: Foundations, Toolbox, and Recipes<\/em> to be published in September 2019, and available (for free) to Data Science Central members exclusively. This cheat sheet is 14 pages long.<\/p>\n<p><strong>Content<\/strong><\/p>\n<p>1. Hardware<\/p>\n<p>2. Linux environment on Windows laptop<\/p>\n<p>3. Basic UNIX commands<\/p>\n<p>4. Scripting languages<\/p>\n<p>5. Python, R, Hadoop, SQL, DataViz<\/p>\n<p>6. Machine Learning<\/p>\n<ul>\n<li>Algorithms<\/li>\n<li>Getting started<\/li>\n<li>Applications<\/li>\n<li>Data sets and sample projects<\/li>\n<\/ul>\n<p><em>To not miss this type of content in the future,<span>\u00a0<\/span><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/check-out-our-dsc-newsletter\">subscribe<\/a><span>\u00a0<\/span>to our newsletter. For related articles from the same author,\u00a0<a href=\"http:\/\/www.datasciencecentral.com\/profiles\/blogs\/my-data-science-machine-learning-and-related-articles\" target=\"_blank\" rel=\"noopener noreferrer\">click here<\/a><span>\u00a0<\/span>or visit<span>\u00a0<\/span><a href=\"http:\/\/www.vincentgranville.com\/\" target=\"_blank\" rel=\"noopener noreferrer\">www.VincentGranville.com<\/a>. Follow me on<span>\u00a0<\/span><a href=\"https:\/\/www.linkedin.com\/in\/vincentg\/\" target=\"_blank\" rel=\"noopener noreferrer\">on LinkedIn<\/a>, or visit my old web page<span>\u00a0<\/span><a href=\"http:\/\/www.datashaping.com\/\">here<\/a>.<\/em><\/p>\n<\/p>\n<\/div>\n<p><a href=\"https:\/\/www.datasciencecentral.com\/xn\/detail\/6448529:BlogPost:189956\">Go to Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Author: Vincent Granville You can download the new machine learning cheat sheet\u00a0here\u00a0(PDF format, 14 pages.)\u00a0 Originally published in 2014 and viewed more than 200,000 times, [&hellip;] <span class=\"read-more-link\"><a class=\"read-more\" href=\"https:\/\/www.aiproblog.com\/index.php\/2019\/06\/07\/machine-learning-and-data-science-cheat-sheet\/\">Read More<\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":458,"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":[26],"tags":[],"_links":{"self":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/2240"}],"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=2240"}],"version-history":[{"count":0,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/2240\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media\/473"}],"wp:attachment":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media?parent=2240"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/categories?post=2240"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/tags?post=2240"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}