{"id":6947,"date":"2015-12-08T09:27:05","date_gmt":"2015-12-08T14:27:05","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=6947"},"modified":"2016-01-01T10:43:00","modified_gmt":"2016-01-01T15:43:00","slug":"four-ways-data-science-goes-wrong-and-how-test-driven-data-analysis-can-help","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/four-ways-data-science-goes-wrong-and-how-test-driven-data-analysis-can-help\/6947\/","title":{"rendered":"Four Ways Data Science Goes Wrong and How Test-Driven Data Analysis Can Help"},"content":{"rendered":"If, as Niels Bohr maintained, an expert is a person who has made all the mistakes that can be made in a narrow field, we consider ourselves expert data scientists.\u00a0 After twenty years of doing what\u2019s been variously called statistics, data-mining, analytics and data-science, we have probably made every mistake in the book\u2014bad assumptions about how data reflects reality; imposing our own biases; unjustified statistical inferences and misguided data transformations; poorly generalized deployment; and unforeseen stakeholder consequences.\u00a0 But at least we\u2019re not alone. We believe that studying all the ways we get it wrong suggests a powerful \u201ctest <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/four-ways-data-science-goes-wrong-and-how-test-driven-data-analysis-can-help\/6947\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>If, as Niels Bohr maintained, an expert is a person who has made all the mistakes that can be made in a narrow field, we consider ourselves expert data scientists.\u00a0 After twenty years of doing what\u2019s been variously called statistics, data-mining, analytics and data-science, we have probably made every mistake in the book\u2014bad assumptions about [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[3],"tags":[59,63,166,448],"class_list":["post-6947","post","type-post","status-publish","format-standard","hentry","category-leading-stories","tag-analytics","tag-data-mining","tag-data-science","tag-hopper"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/6947","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\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=6947"}],"version-history":[{"count":7,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/6947\/revisions"}],"predecessor-version":[{"id":6955,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/6947\/revisions\/6955"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=6947"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=6947"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=6947"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}