{"id":544,"date":"2018-05-25T04:33:07","date_gmt":"2018-05-25T04:33:07","guid":{"rendered":"https:\/\/www.aiproblog.com\/index.php\/2018\/05\/25\/ds-book-suggestions-recommendations-megathread\/"},"modified":"2018-05-25T04:33:07","modified_gmt":"2018-05-25T04:33:07","slug":"ds-book-suggestions-recommendations-megathread","status":"publish","type":"post","link":"https:\/\/www.aiproblog.com\/index.php\/2018\/05\/25\/ds-book-suggestions-recommendations-megathread\/","title":{"rendered":"DS Book Suggestions\/Recommendations Megathread"},"content":{"rendered":"<p>Author: \/u\/Omega037<\/p>\n<div><!-- SC_OFF --><\/p>\n<div class=\"md\">\n<p>The Mod Team has decided that it would be nice to put together a list of recommended books, similar to <a href=\"https:\/\/www.reddit.com\/r\/datascience\/wiki\/podcasts\">the podcast list<\/a>.<\/p>\n<p><strong>Please post any books that you have found particularly interesting or helpful for learning during your career. Include the title with either an author or link.<\/strong><\/p>\n<p>Some restrictions:<\/p>\n<ul>\n<li>Must be directly related to data science<\/li>\n<li>Non-fiction only<\/li>\n<li>Must be an actual <strong>book<\/strong>, not a blog post, scientific article, or website<\/li>\n<li>\n<p>Nothing self-promotional<\/p>\n<hr>\n<\/li>\n<\/ul>\n<p>My recommendations:<\/p>\n<ul>\n<li><a href=\"https:\/\/www.cs.ubc.ca\/~murphyk\/MLbook\/\">Machine Learning: A Probabilistic Perspective<\/a><\/li>\n<li><a href=\"https:\/\/web.stanford.edu\/~hastie\/CASI\/\">Computer Age Statistical Inference<\/a><\/li>\n<li><a href=\"http:\/\/www.stat.columbia.edu\/~gelman\/arm\/\">Data Analysis Using Regression and Multilevel\/Hierarchical Models<\/a><\/li>\n<li><a href=\"https:\/\/www.wiley.com\/en-us\/Design+and+Analysis+of+Experiments%2C+8th+Edition-p-9781118146927\">Design and Analysis of Experiments<\/a><\/li>\n<li><a href=\"https:\/\/www.amazon.com\/Data-Mining-Concepts-Techniques-Management\/dp\/0123814790\">Data Mining: Concepts and Techniques<\/a><\/li>\n<li><a href=\"https:\/\/www.morganclaypool.com\/doi\/abs\/10.2200\/S00429ED1V01Y201207AIM018\">Active Learning<\/a><\/li>\n<li><a href=\"https:\/\/www.springer.com\/us\/book\/9780387402727\">All of Statistics: A Concise Course in Statistical Inference<\/a><\/li>\n<\/ul>\n<\/div>\n<p><!-- SC_ON -->   submitted by   <a href=\"https:\/\/www.reddit.com\/user\/Omega037\"> \/u\/Omega037 <\/a> <br \/><span><a href=\"https:\/\/www.reddit.com\/r\/datascience\/comments\/8jneyb\/ds_book_suggestionsrecommendations_megathread\/\">[link]<\/a><\/span>   <span><a href=\"https:\/\/www.reddit.com\/r\/datascience\/comments\/8jneyb\/ds_book_suggestionsrecommendations_megathread\/\">[comments]<\/a><\/span><\/div>\n<p><a href=\"https:\/\/www.reddit.com\/r\/datascience\/comments\/8jneyb\/ds_book_suggestionsrecommendations_megathread\/\">Go to Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Author: \/u\/Omega037 The Mod Team has decided that it would be nice to put together a list of recommended books, similar to the podcast list. [&hellip;] <span class=\"read-more-link\"><a class=\"read-more\" href=\"https:\/\/www.aiproblog.com\/index.php\/2018\/05\/25\/ds-book-suggestions-recommendations-megathread\/\">Read More<\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":464,"comment_status":"closed","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\/544"}],"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=544"}],"version-history":[{"count":0,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/544\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media\/468"}],"wp:attachment":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media?parent=544"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/categories?post=544"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/tags?post=544"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}