{"id":220,"date":"2019-07-19T13:00:41","date_gmt":"2019-07-19T13:00:41","guid":{"rendered":"http:\/\/blog.lummetry.ai\/?p=220"},"modified":"2019-08-23T14:27:19","modified_gmt":"2019-08-23T14:27:19","slug":"humanizing-or-not-data-science","status":"publish","type":"post","link":"https:\/\/blog.lummetry.ai\/index.php\/2019\/07\/19\/humanizing-or-not-data-science\/","title":{"rendered":"Humanizing or not Data Science"},"content":{"rendered":"\n<p><strong><em>The motivational use-case: signal prediction in trading<\/em><\/strong><\/p>\n\n\n\n<p>Back in 2014 I was leading a project, for a client, that had the \u201csimple\u201d purpose of automated trading for stock exchange. The project was quite focused in scope and was, in fact, targeting a discrete number of stocks, all these being clearly articulated\/specified by our client. Therefore, following a short initial requirements analysis, we began to explore approaches and model architectures for this project \u2014 ranging from simple regression trees on top of MDPs, to ARIMAs and SVM ensembles up to recurrent DAGs.<\/p>\n\n\n\n<p>Now comes the \u201chuman\u201d part.<\/p>\n\n\n\n<p><strong>Article:<\/strong>  <a href=\"https:\/\/medium.com\/@andrei.damian\/humanizing-or-not-data-science-28e48be56e3b\">https:\/\/medium.com\/@andrei.damian\/humanizing-or-not-data-science-28e48be56e3b<\/a> <\/p>\n","protected":false},"excerpt":{"rendered":"<p>The motivational use-case: signal prediction in trading Back in 2014 I was leading a project, for a client, that had the \u201csimple\u201d purpose of automated trading for stock exchange. The project was quite focused in scope and was, in fact, targeting a discrete number of stocks, all these being clearly articulated\/specified by our client. Therefore, following a short initial requirements analysis, we began to explore approaches and model architectures for this project \u2014 ranging from simple regression trees on top of MDPs, to ARIMAs and SVM ensembles up to recurrent DAGs. Now comes the \u201chuman\u201d part. Article: https:\/\/medium.com\/@andrei.damian\/humanizing-or-not-data-science-28e48be56e3b<\/p>\n","protected":false},"author":1,"featured_media":221,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[9],"tags":[18,21,14],"_links":{"self":[{"href":"https:\/\/blog.lummetry.ai\/index.php\/wp-json\/wp\/v2\/posts\/220"}],"collection":[{"href":"https:\/\/blog.lummetry.ai\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.lummetry.ai\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.lummetry.ai\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.lummetry.ai\/index.php\/wp-json\/wp\/v2\/comments?post=220"}],"version-history":[{"count":1,"href":"https:\/\/blog.lummetry.ai\/index.php\/wp-json\/wp\/v2\/posts\/220\/revisions"}],"predecessor-version":[{"id":222,"href":"https:\/\/blog.lummetry.ai\/index.php\/wp-json\/wp\/v2\/posts\/220\/revisions\/222"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blog.lummetry.ai\/index.php\/wp-json\/wp\/v2\/media\/221"}],"wp:attachment":[{"href":"https:\/\/blog.lummetry.ai\/index.php\/wp-json\/wp\/v2\/media?parent=220"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.lummetry.ai\/index.php\/wp-json\/wp\/v2\/categories?post=220"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.lummetry.ai\/index.php\/wp-json\/wp\/v2\/tags?post=220"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}