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Similarities and Differences between ML and Analytics

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Similarities and differences in skills, tools, and use cases - Rishabh Bhargava

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Outline:

  • Predictive and prescriptive analytics
  • Similarities and differences in skills, tools, and use cases

About the guest:

Rishabh has worked with analytics and ML teams for 7+ years. Most recently, he led Sales Engineering at a data infra company called Datacoral (acquired by Cloudera) helping analytics teams with their data pipelines. Previous to that, he was an early employee at Primer.ai where he built and deployed ML models for multiple natural language applications. He also writes a newsletter that discusses challenges with ML in production: mlopsroundup.substack.com.

Rishabh has a Masters in CS from Stanford and completed his undergraduate studies at the University of Cambridge.

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