754 Epizód

  1. ML Feature Store at Intuit with Srivathsan Canchi - #438

    Közzétéve: 2020. 12. 16.

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

    Közzétéve: 2020. 12. 14.

  3. Predictive Disease Risk Modeling at 23andMe with Subarna Sinha - #436

    Közzétéve: 2020. 12. 11.

  4. Scaling Video AI at RTL with Daan Odijk - #435

    Közzétéve: 2020. 12. 09.

  5. Benchmarking ML with MLCommons w/ Peter Mattson - #434

    Közzétéve: 2020. 12. 07.

  6. Deep Learning for NLP: From the Trenches with Charlene Chambliss - #433

    Közzétéve: 2020. 12. 03.

  7. Feature Stores for Accelerating AI Development - #432

    Közzétéve: 2020. 11. 30.

  8. An Exploration of Coded Bias with Shalini Kantayya, Deb Raji and Meredith Broussard - #431

    Közzétéve: 2020. 11. 27.

  9. Common Sense as an Algorithmic Framework with Dileep George - #430

    Közzétéve: 2020. 11. 23.

  10. Scaling Enterprise ML in 2020: Still Hard! with Sushil Thomas - #429

    Közzétéve: 2020. 11. 19.

  11. Enabling Clinical Automation: From Research to Deployment with Devin Singh - #428

    Közzétéve: 2020. 11. 16.

  12. Pixels to Concepts with Backpropagation w/ Roland Memisevic - #427

    Közzétéve: 2020. 11. 12.

  13. Fighting Global Health Disparities with AI w/ Jon Wang - #426

    Közzétéve: 2020. 11. 09.

  14. Accessibility and Computer Vision - #425

    Közzétéve: 2020. 11. 05.

  15. NLP for Equity Investing with Frank Zhao - #424

    Közzétéve: 2020. 11. 02.

  16. The Future of Education and AI with Salman Khan - #423

    Közzétéve: 2020. 10. 28.

  17. Why AI Innovation and Social Impact Go Hand in Hand with Milind Tambe - #422

    Közzétéve: 2020. 10. 23.

  18. What's Next for Fast.ai? w/ Jeremy Howard - #421

    Közzétéve: 2020. 10. 21.

  19. Feature Stores for MLOps with Mike del Balso - #420

    Közzétéve: 2020. 10. 19.

  20. Exploring Causality and Community with Suzana Ilić - #419

    Közzétéve: 2020. 10. 16.

16 / 38

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.

Visit the podcast's native language site