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
6 months ago
Blog
A look into disappearing data and degraded performance preventing ML models from shipping
Read MoreBlog
A cultural shift enables the full ML lifecycle
2 months ago
Blog
A guide to MLOps for data scientists: Part 4
Read MoreEvents
Things We Like
Deep Learning Versus Machine Learning: What's the Difference?
51 years ago
Things We Like
A contributed article by Charna Parkey in BuiltIn on thinking through which you should choose when applying data science to business problems
Read MoreThe state of machine learning: Why we need a new kind of datastore
51 years ago
Things We Like
A contributed article by Davor Bonaci in DBTA on building systems for data scientist's needs like aggregations, historic data, and more
Read More