{"id":10523,"date":"2019-07-15T08:49:45","date_gmt":"2019-07-15T12:49:45","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=10523"},"modified":"2019-07-15T08:49:45","modified_gmt":"2019-07-15T12:49:45","slug":"12-things-i-learned-during-my-first-year-as-a-machine-learning-engineer","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/12-things-i-learned-during-my-first-year-as-a-machine-learning-engineer\/10523\/","title":{"rendered":"12 Things I Learned During My First Year as a Machine Learning Engineer"},"content":{"rendered":"Originally published in Towards Data Science, July 6, 2019 Being your own biggest sceptic, the value in trying things which might not work and why communication problems are harder than technical problems. Machine learning and data science are both broad terms. What one data scientist does can be very different to another. The same goes for a machine learning engineer. What\u2019s common is using the past (data) to understand or predict (build models) the future. To put the points below in context, I\u2019ll explain what my role was. We had a small machine learning consulting team. And we <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/12-things-i-learned-during-my-first-year-as-a-machine-learning-engineer\/10523\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in Towards Data Science, July 6, 2019 Being your own biggest sceptic, the value in trying things which might not work and why communication problems are harder than technical problems. Machine learning and data science are both broad terms. What one data scientist does can be very different to another. The same goes [&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":[11,48],"tags":[],"class_list":["post-10523","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\/10523","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=10523"}],"version-history":[{"count":1,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/10523\/revisions"}],"predecessor-version":[{"id":10525,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/10523\/revisions\/10525"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=10523"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=10523"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=10523"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}