Machine Learning Insights

Featured Articles

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

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Data + 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

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Common problems taking ML from lab to production

2 months ago

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A look into disappearing data and degraded performance preventing ML models from shipping

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A guide to MLOps for data scientists

2 months ago

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Part 1: The continuous ML lifecycle

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The cost of an error

3 days ago

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Calculating the tradeoffs between false positives and false negatives

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Make it Work: The Why

A month ago

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Part 2: What data scientists could learn from software engineers

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Events

MLconf online

November 06, 2020, 03 PM | Virtual

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Conference hosted by MLconf bringing together the machine learning and data science community

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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

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A contributed article by Emily Kruger in insideBIGDATA discussing a few common bottlenecks like feature engineering, model management and deployment ...

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