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

748 Episodes

1. FaciesNet & Machine Learning Applications in Energy with Mohamed Sidahmed - #333

   Published: 12/27/2019
2. Machine Learning: A New Approach to Drug Discovery with Daphne Koller - #332

   Published: 12/26/2019
3. Sensory Prediction Error Signals in the Neocortex with Blake Richards - #331

   Published: 12/24/2019
4. How to Know with Celeste Kidd - #330

   Published: 12/23/2019
5. Using Deep Learning to Predict Wildfires with Feng Yan - #329

   Published: 12/20/2019
6. Advancing Machine Learning at Capital One with Dave Castillo - #328

   Published: 12/19/2019
7. Helping Fish Farmers Feed the World with Deep Learning w/ Bryton Shang - #327

   Published: 12/17/2019
8. Metaflow, a Human-Centric Framework for Data Science with Ville Tuulos - #326

   Published: 12/13/2019
9. Single Headed Attention RNN: Stop Thinking With Your Head with Stephen Merity - #325

   Published: 12/12/2019
10. Automated Model Tuning with SigOpt - #324

    Published: 12/9/2019
11. Automated Machine Learning with Erez Barak - #323

    Published: 12/6/2019
12. Responsible AI in Practice with Sarah Bird - #322

    Published: 12/4/2019
13. Enterprise Readiness, MLOps and Lifecycle Management with Jordan Edwards - #321

    Published: 12/2/2019
14. DevOps for ML with Dotscience - #320

    Published: 11/26/2019
15. Building an Autonomous Knowledge Graph with Mike Tung - #319

    Published: 11/21/2019
16. The Next Generation of Self-Driving Engineers with Aaron Ma - Talk #318

    Published: 11/18/2019
17. Spiking Neural Networks: A Primer with Terrence Sejnowski - #317

    Published: 11/14/2019
18. Bridging the Patient-Physician Gap with ML and Expert Systems w/ Xavier Amatriain - #316

    Published: 11/11/2019
19. What Does it Mean for a Machine to "Understand"? with Thomas Dietterich - #315

    Published: 11/7/2019
20. Scaling TensorFlow at LinkedIn with Jonathan Hung - #314

    Published: 11/4/2019