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

754 Odcinki

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

   Opublikowany: 16.12.2020
2. re:Invent Roundup 2020 with Swami Sivasubramanian - #437

   Opublikowany: 14.12.2020
3. Predictive Disease Risk Modeling at 23andMe with Subarna Sinha - #436

   Opublikowany: 11.12.2020
4. Scaling Video AI at RTL with Daan Odijk - #435

   Opublikowany: 9.12.2020
5. Benchmarking ML with MLCommons w/ Peter Mattson - #434

   Opublikowany: 7.12.2020
6. Deep Learning for NLP: From the Trenches with Charlene Chambliss - #433

   Opublikowany: 3.12.2020
7. Feature Stores for Accelerating AI Development - #432

   Opublikowany: 30.11.2020
8. An Exploration of Coded Bias with Shalini Kantayya, Deb Raji and Meredith Broussard - #431

   Opublikowany: 27.11.2020
9. Common Sense as an Algorithmic Framework with Dileep George - #430

   Opublikowany: 23.11.2020
10. Scaling Enterprise ML in 2020: Still Hard! with Sushil Thomas - #429

    Opublikowany: 19.11.2020
11. Enabling Clinical Automation: From Research to Deployment with Devin Singh - #428

    Opublikowany: 16.11.2020
12. Pixels to Concepts with Backpropagation w/ Roland Memisevic - #427

    Opublikowany: 12.11.2020
13. Fighting Global Health Disparities with AI w/ Jon Wang - #426

    Opublikowany: 9.11.2020
14. Accessibility and Computer Vision - #425

    Opublikowany: 5.11.2020
15. NLP for Equity Investing with Frank Zhao - #424

    Opublikowany: 2.11.2020
16. The Future of Education and AI with Salman Khan - #423

    Opublikowany: 28.10.2020
17. Why AI Innovation and Social Impact Go Hand in Hand with Milind Tambe - #422

    Opublikowany: 23.10.2020
18. What's Next for Fast.ai? w/ Jeremy Howard - #421

    Opublikowany: 21.10.2020
19. Feature Stores for MLOps with Mike del Balso - #420

    Opublikowany: 19.10.2020
20. Exploring Causality and Community with Suzana Ilić - #419

    Opublikowany: 16.10.2020