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When Models Go Rogue: Hard Earned Lessons on Using Machine Learning in Production
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| by David Talby Follow 0 Followers on Aug 19, 2017 |
38:23

Summary
David Talby summarizes best practices & lessons learned in ML, based on nearly a decade of experience building & operating ML systems at Fortune 500 companies across several industries.

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Bio

David Talby is Atigeo’s CTO, leading the developments of its big data analytics platform. David has extensive experience in building and operating web-scale analytics and business platforms, as well as building world-class, agile, distributed teams. Previously he was with Microsoft’s Bing group, and earlier he worked at Amazon, where he built and ran distributed teams for financial systems.

Data Science is an emerging field that allows businesses to effectively mine historical data and better understand consumer behavior. This type of scientific data management approach is critical for any business to successfully launch its products and better serve its existing markets.

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