Wait, I can explain this! (ML models explaining their predictions)

Jul 2017

24 Mon

25 Tue

26 Wed

27 Thu 08:15 AM – 10:00 PM IST

28 Fri 08:15 AM – 06:25 PM IST

29 Sat

30 Sun

MLR Convention Centre, Whitefield, Bengaluru,

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This submission has been added to the schedule

Wait, I can explain this! (ML models explaining their predictions)

Submitted May 22, 2017

Section: Crisp talk for data engineering track Technical level: Intermediate

Today ML/AI is being used in mission critical applications. However, it is still difficult for a human being to trust a black-boxy ML algorithm. Wouldn’t it be cool if an algorithm could also explain why it had predicted a particular result and thereby strengthen it’s voice? That’s what exactly this talk is all about. Would walk you through how we implemented a model explainer for ZOHO’s ML suite and the story of pushing it into production.

Outline

Motivation behind the problem statement
Local & Interpretable explanations
Overall system design
Case study - Our churn predictor
Questions

Speaker bio

Own the Machine Learning / Deep Learning product stack at Zoho Corporation. Have made high impact full stack ML/DL releases, reaching over a million users and have scaled and tweaked the platform accordingly!