The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

733 Avsnitt

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Publicerades: 2020-10-14