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InfoQ Homepage Presentations Interpretable Machine Learning Products

Interpretable Machine Learning Products

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Summary

Mike Lee Williams discusses how interpretability can make deep neural networks models easier to understand, and describes LIME, an open source tool that can be used to explore what machine learning classifiers (or models) are doing.

Bio

Mike Lee Williams does applied research into computer science, statistics and machine learning at Cloudera Fast Forward Labs. While getting his PhD in astrophysics he spent 2% of his time observing the heavens in beautiful far west Texas, and the other 98% trying to figure out how to fit straight lines to data. He once did a postdoc at the Max Planck Institute for Extraterrestrial Physics.

About the conference

QCon.ai is a AI and Machine Learning conference held in San Francisco for developers, architects & technical managers focused on applied AI/ML.

Recorded at:

Jun 06, 2018

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