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

719 Episodes

1. Trends in Reinforcement Learning with Pablo Samuel Castro - #443

   Published: 30/12/2020
2. MOReL: Model-Based Offline Reinforcement Learning with Aravind Rajeswaran - #442

   Published: 28/12/2020
3. Machine Learning as a Software Engineering Enterprise with Charles Isbell - #441

   Published: 23/12/2020
4. Natural Graph Networks with Taco Cohen - #440

   Published: 21/12/2020
5. Productionizing Time-Series Workloads at Siemens Energy with Edgar Bahilo Rodriguez - #439

   Published: 18/12/2020
6. ML Feature Store at Intuit with Srivathsan Canchi - #438

   Published: 16/12/2020
7. re:Invent Roundup 2020 with Swami Sivasubramanian - #437

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

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

   Published: 9/12/2020
10. Benchmarking ML with MLCommons w/ Peter Mattson - #434

    Published: 7/12/2020
11. Deep Learning for NLP: From the Trenches with Charlene Chambliss - #433

    Published: 3/12/2020
12. Feature Stores for Accelerating AI Development - #432

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

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

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

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

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

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

    Published: 9/11/2020
19. Accessibility and Computer Vision - #425

    Published: 5/11/2020
20. NLP for Equity Investing with Frank Zhao - #424

    Published: 2/11/2020