{"id":26671,"date":"2019-04-17T09:35:05","date_gmt":"2019-04-17T13:35:05","guid":{"rendered":"https:\/\/centricconsulting.com\/?p=26671"},"modified":"2023-08-18T13:09:01","modified_gmt":"2023-08-18T17:09:01","slug":"machine-learning-and-data-scientists-a-match-made-in-heaven","status":"publish","type":"post","link":"https:\/\/centricconsulting.com\/blog\/machine-learning-and-data-scientists-a-match-made-in-heaven\/","title":{"rendered":"Machine Learning and Data Scientists: A Match Made in Heaven"},"content":{"rendered":"
Developing a well-thought-out strategy to implement machine learning while using the expertise of a data scientist creates the best long-term solution for your business.<\/p>\n
Machine learning<\/a> is everywhere right now<\/span>.<\/span>\u00a0<\/span>No matter what business problem you search for, it seems like machine learning is part of the answer.<\/strong>\u00a0<\/span>\u00a0<\/span><\/p>\n A<\/span>nyone<\/span>\u00a0tech-savvy\u00a0<\/span>can\u00a0<\/span>do it<\/span>.<\/span>\u00a0<\/span>Simply<\/span>\u00a0<\/span>pop on to whatever tool you choose<\/span>,<\/span>\u00a0follow a few tutorials<\/span>, and<\/span>\u00a0next thing you know<\/span>,<\/span>\u00a0you<\/span>\u2019ve\u00a0<\/span>create<\/span>d<\/span>\u00a0a model<\/span>!<\/span>\u00a0<\/span>B<\/span>ut<\/span>,<\/span>\u00a0<\/span>what do you do with\u00a0<\/span>that model and\u00a0<\/span>how do you\u00a0<\/span>make it part of your bigger data solution<\/span>?<\/span>\u00a0<\/span><\/p>\n You need a data scientist<\/a>.\u00a0<\/span><\/b>\u00a0<\/span><\/p>\n M<\/span>achine learning is an optimization tool<\/span>.<\/span>\u00a0<\/span>I<\/span>t looks for the best answer\u00a0<\/span>based on the data you provide<\/span>, but it can\u00a0<\/span>only answer the question\u00a0<\/span>asked<\/span>.<\/span>\u00a0<\/span>I<\/span>t doesn’t have the ability to ingest information and guess what you need to know to solve a problem<\/span>.<\/span>\u00a0<\/span>I<\/span>t\u00a0<\/span>can\u2019t tell you that it\u00a0<\/span>might not\u00a0<\/span>have<\/span>\u00a0the right informatio<\/span>n,<\/span>\u00a0the\u00a0<\/span>correct<\/span>\u00a0answer<\/span>s<\/span>,<\/span>\u00a0<\/span>or even the right question<\/span>s.\u00a0<\/span>\u00a0<\/span><\/p>\n So how do\u00a0<\/span>you<\/span>\u00a0go about using a utility like machine learning?\u00a0<\/span>The tool requires solid data from your data\u00a0warehouse,\u00a0an understanding of business needs from your business analysts, and\u00a0a strong knowledge of analytics from your data analysts.<\/strong>\u00a0<\/span>A<\/span>t the intersection of all of those is<\/span>\u00a0your<\/span>\u00a0data scientist<\/span>.\u00a0<\/span>\u00a0<\/span><\/p>\n A data scientist\u00a0<\/span>asks<\/span>\u00a0the tough questions<\/span>,<\/span>\u00a0like<\/span>:<\/span>\u00a0<\/span><\/p>\n A\u00a0data scientist works with stakeholders and\u00a0technology architects to fit machine learning into the right place in your data picture.\u00a0The process is\u00a0more than just machine learning development.\u00a0<\/strong><\/p>\nPutting Machine Learning\u00a0<\/span>Into<\/span>\u00a0Play<\/span><\/h2>\n
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