{"id":5743,"date":"2015-07-12T12:00:57","date_gmt":"2015-07-12T16:00:57","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=5743"},"modified":"2015-07-09T16:01:22","modified_gmt":"2015-07-09T20:01:22","slug":"from-analysis-to-synthesis-in-data-science","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/from-analysis-to-synthesis-in-data-science\/5743\/","title":{"rendered":"From Analysis to Synthesis in Data Science"},"content":{"rendered":"The ever burgeoning attention on analytics and big data combined with the ever proliferating phenomenon of smart phones and social media generates great anticipation to the analytically oriented nerd that world domination is now indeed within reach.\u00a0 However, the analytical approach has been effective in solving relatively low end commercial problems like getting customers to buy more merchandise, speeding up the fulfilment process, reducing transaction costs and as of late, getting an ever increasing number of filtered candidates to fill in job vacancies; just to name some of the more popular applications. While the scale of the issues <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/from-analysis-to-synthesis-in-data-science\/5743\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>The ever burgeoning attention on analytics and big data combined with the ever proliferating phenomenon of smart phones and social media generates great anticipation to the analytically oriented nerd that world domination is now indeed within reach.\u00a0 However, the analytical approach has been effective in solving relatively low end commercial problems like getting customers to [&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":[],"class_list":["post-5743","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/5743","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=5743"}],"version-history":[{"count":1,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/5743\/revisions"}],"predecessor-version":[{"id":5744,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/5743\/revisions\/5744"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=5743"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=5743"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=5743"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}