The Fifth Elephant 2017

On data engineering and application of ML in diverse domains

Ramprakash R


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

Submitted May 22, 2017

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.


  1. Motivation behind the problem statement
  2. Local & Interpretable explanations
  3. Overall system design
  4. Case study - Our churn predictor
  5. 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!



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