120 Afleveringen

  1. Joaquin Candela — Definitions of Fairness

    Gepubliceerd: 1-10-2020
  2. Richard Socher — The Challenges of Making ML Work in the Real World

    Gepubliceerd: 29-9-2020
  3. Zack Chase Lipton — The Medical Machine Learning Landscape

    Gepubliceerd: 17-9-2020
  4. Anthony Goldbloom — How to Win Kaggle Competitions

    Gepubliceerd: 9-9-2020
  5. Suzana Ilić — Cultivating Machine Learning Communities

    Gepubliceerd: 2-9-2020
  6. Jeremy Howard — The Story of fast.ai and Why Python Is Not the Future of ML

    Gepubliceerd: 25-8-2020
  7. Anantha Kancherla — Building Level 5 Autonomous Vehicles

    Gepubliceerd: 12-8-2020
  8. Bharath Ramsundar — Deep Learning for Molecules and Medicine Discovery

    Gepubliceerd: 5-8-2020
  9. Chip Huyen — ML Research and Production Pipelines

    Gepubliceerd: 29-7-2020
  10. Peter Skomoroch — Product Management for AI

    Gepubliceerd: 22-7-2020
  11. Josh Tobin — Productionizing ML Models

    Gepubliceerd: 8-7-2020
  12. Miles Brundage — Societal Impacts of Artificial Intelligence

    Gepubliceerd: 1-7-2020
  13. Hamel Husain — Building Machine Learning Tools

    Gepubliceerd: 24-6-2020
  14. Peter Welinder — Deep Reinforcement Learning and Robotics

    Gepubliceerd: 17-6-2020
  15. Vicki Boykis — Machine Learning Across Industries

    Gepubliceerd: 4-6-2020
  16. Angela & Danielle — Designing ML Models for Millions of Consumer Robots

    Gepubliceerd: 6-5-2020
  17. Jack Clark — Building Trustworthy AI Systems

    Gepubliceerd: 22-4-2020
  18. Rachael Tatman — Conversational AI and Linguistics

    Gepubliceerd: 7-4-2020
  19. Nicolas Koumchatzky — Machine Learning in Production for Self-Driving Cars

    Gepubliceerd: 21-3-2020
  20. Brandon Rohrer — Machine Learning in Production for Robots

    Gepubliceerd: 11-3-2020

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Join Lukas Biewald on Gradient Dissent, an AI-focused podcast brought to you by Weights & Biases. Dive into fascinating conversations with industry giants from NVIDIA, Meta, Google, Lyft, OpenAI, and more. Explore the cutting-edge of AI and learn the intricacies of bringing models into production.

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