753 Épisodes

  1. re:Invent Roundup 2020 with Swami Sivasubramanian - #437

    Publié: 14/12/2020
  2. Predictive Disease Risk Modeling at 23andMe with Subarna Sinha - #436

    Publié: 11/12/2020
  3. Scaling Video AI at RTL with Daan Odijk - #435

    Publié: 09/12/2020
  4. Benchmarking ML with MLCommons w/ Peter Mattson - #434

    Publié: 07/12/2020
  5. Deep Learning for NLP: From the Trenches with Charlene Chambliss - #433

    Publié: 03/12/2020
  6. Feature Stores for Accelerating AI Development - #432

    Publié: 30/11/2020
  7. An Exploration of Coded Bias with Shalini Kantayya, Deb Raji and Meredith Broussard - #431

    Publié: 27/11/2020
  8. Common Sense as an Algorithmic Framework with Dileep George - #430

    Publié: 23/11/2020
  9. Scaling Enterprise ML in 2020: Still Hard! with Sushil Thomas - #429

    Publié: 19/11/2020
  10. Enabling Clinical Automation: From Research to Deployment with Devin Singh - #428

    Publié: 16/11/2020
  11. Pixels to Concepts with Backpropagation w/ Roland Memisevic - #427

    Publié: 12/11/2020
  12. Fighting Global Health Disparities with AI w/ Jon Wang - #426

    Publié: 09/11/2020
  13. Accessibility and Computer Vision - #425

    Publié: 05/11/2020
  14. NLP for Equity Investing with Frank Zhao - #424

    Publié: 02/11/2020
  15. The Future of Education and AI with Salman Khan - #423

    Publié: 28/10/2020
  16. Why AI Innovation and Social Impact Go Hand in Hand with Milind Tambe - #422

    Publié: 23/10/2020
  17. What's Next for Fast.ai? w/ Jeremy Howard - #421

    Publié: 21/10/2020
  18. Feature Stores for MLOps with Mike del Balso - #420

    Publié: 19/10/2020
  19. Exploring Causality and Community with Suzana Ilić - #419

    Publié: 16/10/2020
  20. Decolonizing AI with Shakir Mohamed - #418

    Publié: 14/10/2020

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Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. The TWIML AI Podcast brings the top minds and ideas from the world of ML and AI to a broad and influential community of ML/AI researchers, data scientists, engineers and tech-savvy business and IT leaders. Hosted by Sam Charrington, a sought after industry analyst, speaker, commentator and thought leader. Technologies covered include machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, computer science, data science and more.

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