{"id":13344,"date":"2024-01-23T06:58:01","date_gmt":"2024-01-23T11:58:01","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=13344"},"modified":"2024-01-23T09:51:35","modified_gmt":"2024-01-23T14:51:35","slug":"cracking-the-business-code-of-clusters","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/cracking-the-business-code-of-clusters\/13344\/","title":{"rendered":"Cracking the Business Code of Clusters"},"content":{"rendered":"Winning with Data Science is a compelling and comprehensive guide for customers of data science. It teaches readers how to work with data scientists by emphasizing real-world business applications and focusing on how to collaborate productively with data science teams. The book takes a narrative approach with fictitious characters embracing new projects involving data science teams. In this adapted excerpt, Brett, a lead data scientist working for Shu Financial, partners with Steve, a newly minted MBA who is half-way through his two-year rotation through the Fraud Department, Recoveries Department, and Real Estate Division, to improve the fraud department\u2019s <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/cracking-the-business-code-of-clusters\/13344\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Winning with Data Science is a compelling and comprehensive guide for customers of data science. It teaches readers how to work with data scientists by emphasizing real-world business applications and focusing on how to collaborate productively with data science teams. The book takes a narrative approach with fictitious characters embracing new projects involving data science [&hellip;]<\/p>\n","protected":false},"author":72,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[3],"tags":[879,368,1339,166,791,243],"class_list":["post-13344","post","type-post","status-publish","format-standard","hentry","category-leading-stories","tag-ai","tag-artificial-intelligence","tag-data-fraud","tag-data-science","tag-deep-learning","tag-machine-learning"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13344","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\/72"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=13344"}],"version-history":[{"count":3,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13344\/revisions"}],"predecessor-version":[{"id":13361,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13344\/revisions\/13361"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=13344"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=13344"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=13344"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}