Your Customers Are Changing, Your Data Should Too
Blog
How data treated as "facts" degrades model accuracy and a proposed solution using event streams...
Read MoreFeatured Articles
5 steps to take as an antiracist data scientist
51 years ago
Things We Like
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
Things We Like
Great talk on how data has changed since COVID-19—models are no longer predictive
Read MoreCommon problems taking ML from lab to production
2 months ago
Blog
A look into disappearing data and degraded performance preventing ML models from shipping
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The cost of an error
3 days ago
Blog
Calculating the tradeoffs between false positives and false negatives
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Make it Work: The Why
A month ago
Blog
Part 2: What data scientists could learn from software engineers
Read MoreEvents
MLconf online
November 06, 2020, 03 PM | Virtual
Event
Conference hosted by MLconf bringing together the machine learning and data science community
Event DetailsThings We Like
Should you buy a commercial machine learning platform or build in-house?
51 years ago
Things We Like
A contributed article by Charna Parkey in Built In analyzing the best option in terms of time, money and change management
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Maximizing the impact of ML in production
51 years ago
Things We Like
A contributed article by Emily Kruger in insideBIGDATA discussing a few common bottlenecks like feature engineering, model management and deployment ...
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