{"id":5561,"date":"2015-06-16T16:52:37","date_gmt":"2015-06-16T16:52:37","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=5561"},"modified":"2015-06-16T16:53:20","modified_gmt":"2015-06-16T16:53:20","slug":"analytics-lessons-from-the-blackjack-table-0615153","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/analytics-lessons-from-the-blackjack-table-0615153\/5561\/","title":{"rendered":"Sameer Chopra&#8217;s Analytics Lessons from the Blackjack Table"},"content":{"rendered":"Hit on 16 and stay on 17\u2014that\u2019s the extent of blackjack strategy for many players. But even basic strategies of the game say there are times when hitting on 18 is the smartest play\u2014such as when the dealer is showing a 10. Yet most people wouldn\u2019t do that, says Orbitz Chief Analytics Officer Sameer Chopra\u2014because they are afraid to bust. \u201cPlayers will go with their gut feeling, even when it is wrong,\u201d adds Chopra, who spoke this week at Predictive Analytics World in Chicago. But the only way to come out ahead at the blackjack table, or at <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/analytics-lessons-from-the-blackjack-table-0615153\/5561\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Hit on 16 and stay on 17\u2014that\u2019s the extent of blackjack strategy for many players. But even basic strategies of the game say there are times when hitting on 18 is the smartest play\u2014such as when the dealer is showing a 10. Yet most people wouldn\u2019t do that, says Orbitz Chief Analytics Officer Sameer Chopra\u2014because [&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":[11,48],"tags":[59,52,7],"class_list":["post-5561","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand","tag-analytics","tag-orbitz","tag-predictive-analytics-world"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/5561","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=5561"}],"version-history":[{"count":1,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/5561\/revisions"}],"predecessor-version":[{"id":5562,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/5561\/revisions\/5562"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=5561"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=5561"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=5561"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}