Your Customers Are Changing, Your Data Should Too
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How data treated as "facts" degrades model accuracy and a proposed solution using event streams...
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5 steps to take as an antiracist data scientist
51 years ago
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Anti-racism work is personal, this article provides a unique lens for data scientists
Read MoreData + AI Lessons Learned from Covid-19
51 years ago
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Great talk on how data has changed since COVID-19—models are no longer predictive
Read MoreCommon problems taking ML from lab to production
3 months ago
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A look into disappearing data and degraded performance preventing ML models from shipping
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Type III: The Costliest Error
6 days ago
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The impact of the right answer to the wrong problem on data science problems
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Tools instrument the ML lifecycle
4 weeks ago
Blog
A guide to MLOps for data scientists: Part 2
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MLconf online
November 06, 2020, 03 PM | Virtual
Event
Conference hosted by MLconf bringing together the machine learning and data science community
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MLOps: More Than Automation
51 years ago
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A contributed article by Charna Parkey in DevOps.com on MLOps principles guiding how to build tools centering data science goals and impact
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Meet The Disruptors: How Davor Bonaci of Kaskada Is Shaking Up the Machine Learning Industry
51 years ago
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AuthorityMagazine interviews our very own Davor Bonaci on building a platform focused on data scientist's needs
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