Sept. 30, 2022, 5 p.m. | DataTalks.Club

DataTalks.Club datatalks.club

We talked about:



  • Supreet’s background

  • Responsible AI

  • Example of explainable AI

  • Responsible AI vs explainable AI

  • Explainable AI tools and frameworks (glass box approach)

  • Checking for bias in data and handling personal data

  • Understanding whether your company needs certain type of data

  • Data quality checks and automation

  • Responsibility vs profitability

  • The human touch in AI

  • The trade-off between model complexity and explainability

  • Is completely automated AI out of the question?

  • Detecting model drift and overfitting

  • How Supreet became interested in …

explainable ai

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Applied Scientist, Control Stack, AWS Center for Quantum Computing

@ Amazon.com | Pasadena, California, USA

Specialist Marketing with focus on ADAS/AD f/m/d

@ AVL | Graz, AT

Machine Learning Engineer, PhD Intern

@ Instacart | United States - Remote

Supervisor, Breast Imaging, Prostate Center, Ultrasound

@ University Health Network | Toronto, ON, Canada

Senior Manager of Data Science (Recommendation Science)

@ NBCUniversal | New York, NEW YORK, United States