{"id":2350,"date":"2013-09-18T16:58:32","date_gmt":"2013-09-18T16:58:32","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=2350"},"modified":"2013-09-18T16:59:29","modified_gmt":"2013-09-18T16:59:29","slug":"nadal-or-djokovic-predicting-the-winner-of-the-us-open","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/nadal-or-djokovic-predicting-the-winner-of-the-us-open\/2350\/","title":{"rendered":"Nadal or Djokovic? Predicting the winner of the US Open"},"content":{"rendered":"Most pundits will have an opinion on who will triumph in this year&#8217;s US Open men&#8217;s final &#8211; Rafael Nadal or Novak Djokovic &#8211; but the best insights into who will be crowned champion will come from the same technology that has helped cities to lower crime rates and plan for extreme weather. Deep in the bowels of Arthur Ashe Stadium in Flushing Meadows, Queens, New York, beats the data heart of the 2013 US Open. In a bland room accessed through an unmarked door, more than 60 laptops are piled high, arranged like a command control centre <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/nadal-or-djokovic-predicting-the-winner-of-the-us-open\/2350\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Most pundits will have an opinion on who will triumph in this year&#8217;s US Open men&#8217;s final &#8211; Rafael Nadal or Novak Djokovic &#8211; but the best insights into who will be crowned champion will come from the same technology that has helped cities to lower crime rates and plan for extreme weather. Deep in [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":2355,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[141,107,142],"class_list":["post-2350","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry-news","category-left-hand","tag-apache-hadoop","tag-ibm","tag-predicting"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/2350","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=2350"}],"version-history":[{"count":6,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/2350\/revisions"}],"predecessor-version":[{"id":2357,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/2350\/revisions\/2357"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media\/2355"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=2350"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=2350"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=2350"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}