{"id":12309,"date":"2021-10-07T08:51:58","date_gmt":"2021-10-07T12:51:58","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=12309"},"modified":"2021-10-07T08:51:58","modified_gmt":"2021-10-07T12:51:58","slug":"the-first-rule-of-machine-learning-start-without-machine-learning","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/the-first-rule-of-machine-learning-start-without-machine-learning\/12309\/","title":{"rendered":"The First Rule of Machine Learning: Start without Machine Learning"},"content":{"rendered":"Originally published in Eugeneyan. Applying machine learning effectively is tricky. You need data. You need a robust pipeline to support your data flows. And most of all, you need high-quality labels. As a result, most of the time, my first iteration doesn\u2019t involve machine learning at all. Wait\u2014start\u00a0without\u00a0machine learning? I\u2019m not alone in saying this. Guess what\u2019s Rule #1 in Google\u2019s 43\u00a0Rules of Machine Learning? Rule #1: Don\u2019t be afraid to launch a product without machine learning. Machine learning is cool, but it requires data. Theoretically, you can take data from a different problem and then tweak the <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/the-first-rule-of-machine-learning-start-without-machine-learning\/12309\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in Eugeneyan. Applying machine learning effectively is tricky. You need data. You need a robust pipeline to support your data flows. And most of all, you need high-quality labels. As a result, most of the time, my first iteration doesn\u2019t involve machine learning at all. Wait\u2014start\u00a0without\u00a0machine learning? I\u2019m not alone in saying this. [&hellip;]<\/p>\n","protected":false},"author":72,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[230,791,243,8],"class_list":["post-12309","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand","tag-data-analytics","tag-deep-learning","tag-machine-learning","tag-predictive-analytics"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12309","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/72"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=12309"}],"version-history":[{"count":1,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12309\/revisions"}],"predecessor-version":[{"id":12310,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12309\/revisions\/12310"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=12309"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=12309"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=12309"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}