The Biggest Mistakes Made By Data Scientists
Information Week, November 22nd, 2019
December 1, 2019,
Volume 260, Issue 4

While the tools may change, the mistakes stay the same. Here are four common issues that IT leaders should be aware of when managing data science teams

"In 2019, companies looking to gain an edge on competitors and insight into customers and trends have come to rely more heavily on data scientists to inform their business decisions," reports Xin Heng in Information Week.

"A good data scientist is invaluable to a company with any online presence. They will assess and interpret complex information and build out machine learning algorithms..."

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