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
5 months ago
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A look into disappearing data and degraded performance preventing ML models from shipping
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A cultural shift enables the full ML lifecycle
2 weeks ago
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A guide to MLOps for data scientists: Part 4
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Events
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Practical strategies to minimize bias in machine learning
51 years ago
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A contributed article by Charna Parkey in VentureBeat defining who, when and how your ML models are impact people and where to mitigate bias
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8 types of bias in data analysis and how to avoid them
51 years ago
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TechTarget interviews Kaskada's Charna Parkey (and other industry experts) on how to identify and mitigate bias in machine learning
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