{"id":1783,"date":"2019-02-27T06:32:10","date_gmt":"2019-02-27T06:32:10","guid":{"rendered":"https:\/\/www.aiproblog.com\/index.php\/2019\/02\/27\/new-data-science-cheat-sheet-by-maverick-lin\/"},"modified":"2019-02-27T06:32:10","modified_gmt":"2019-02-27T06:32:10","slug":"new-data-science-cheat-sheet-by-maverick-lin","status":"publish","type":"post","link":"https:\/\/www.aiproblog.com\/index.php\/2019\/02\/27\/new-data-science-cheat-sheet-by-maverick-lin\/","title":{"rendered":"New Data Science Cheat Sheet, by Maverick Lin"},"content":{"rendered":"

Author: Capri Granville<\/p>\n

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Below is an extract of a 10-page cheat sheet about data science, compiled by Maverick Lin. This cheatsheet is currently a reference in data science that covers basic concepts in probability, statistics, statistical learning, machine learning, deep learning, big data frameworks and SQL. The cheatsheet is loosely based off of\u00a0<\/span>The Data Science Design Manual<\/em>\u00a0<\/span>by Steven S. Skiena and\u00a0<\/span>An Introduction to Statistical Learning<\/em>\u00a0<\/span>by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani. Inspired by William Chen’s\u00a0<\/span>The Only Probability Cheatsheet You’ll Ever Need<\/em>, located here<\/a>.\u00a0<\/p>\n

Full cheat sheet available\u00a0here<\/a><\/span>\u00a0<\/span>as a PDF document. Originally posted here<\/a>. The screenshot below is an extract.\u00a0<\/p>\n

<\/a><\/p>\n<\/p>\n

For related cheat cheats (machine learning, deep learning and so on) follow\u00a0<\/span>this link<\/a>.\u00a0<\/p>\n

DSC Resources<\/b><\/span><\/p>\n