{"id":5576,"date":"2015-06-18T14:41:57","date_gmt":"2015-06-18T14:41:57","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=5576"},"modified":"2015-06-24T14:22:04","modified_gmt":"2015-06-24T14:22:04","slug":"plotting-your-data-science-strategy-0618152","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/plotting-your-data-science-strategy-0618152\/5576\/","title":{"rendered":"Plotting your Data Science Strategy"},"content":{"rendered":"It\u2019s the disrupter behind the disruptors and the decade\u2019s \u2018sexiest\u2019 industry. But data science is more than a buzzword. From stock trading to facial recognition, data science is behind the wheel of countless solutions once driven by human capabilities \u2013 and it\u2019s not slowing down. Wherever there is data and patterns to be discovered, there is a need for data science \u2013 and the continuous chain of data and resulting insight makes for a self-sustaining ecosystem. In today\u2019s digital revolution, it is seemingly impossible for organisations to stay ahead of all available information. They need smart technologies that <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/plotting-your-data-science-strategy-0618152\/5576\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>It\u2019s the disrupter behind the disruptors and the decade\u2019s \u2018sexiest\u2019 industry. But data science is more than a buzzword. From stock trading to facial recognition, data science is behind the wheel of countless solutions once driven by human capabilities \u2013 and it\u2019s not slowing down. Wherever there is data and patterns to be discovered, there [&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":[166],"class_list":["post-5576","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand","tag-data-science"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/5576","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=5576"}],"version-history":[{"count":2,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/5576\/revisions"}],"predecessor-version":[{"id":5578,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/5576\/revisions\/5578"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=5576"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=5576"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=5576"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}