In this technical brief I wanted to pass along some great resources in support how data scientists approach their profession and illustrate the kind of background a typical data scientist might have to become successful. insideBIGDATA previously featured four compelling podcast interviews with Microsoft data scientists. Check these out in order to learn even more about how the company is excelling in this dynamic field:
Podcast interview: Matt Winkler, Group Program Manager for Machine Learning at Microsoft
Podcast interview: Jennifer Marsman, Principal Software Development Engineer at Microsoft
Podcast interview: Dr. Danielle Dean, Senior Data Scientist Lead at Microsoft
Podcast interview: Anusua Trivedi, Data Scientist on Microsoft’s Advanced Data Science & Strategic Initiatives Team
The following video interview series was from Microsoft’s EARL 2017 conference in San Francisco (June 5-7, 2017):
Video interview: Vijay K. Narayanan – Director, Algorithms and Data Science Solutions at Microsoft
Video interview: David Bishop, SVP – Head of R&D, Hitachi Solutions America
Contributed by Daniel D. Gutierrez, Managing Editor and Resident Data Scientist of insideBIGDATA. In addition to being a tech journalist, Daniel also is a practicing data scientist, author, educator and sits on a number of advisory boards for various start-up companies.
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