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

745 Épisodes

1. How to Know with Celeste Kidd - #330

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

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

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

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

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

   Publié: 12/12/2019
7. Automated Model Tuning with SigOpt - #324

   Publié: 09/12/2019
8. Automated Machine Learning with Erez Barak - #323

   Publié: 06/12/2019
9. Responsible AI in Practice with Sarah Bird - #322

   Publié: 04/12/2019
10. Enterprise Readiness, MLOps and Lifecycle Management with Jordan Edwards - #321

    Publié: 02/12/2019
11. DevOps for ML with Dotscience - #320

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

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

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

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

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

    Publié: 07/11/2019
17. Scaling TensorFlow at LinkedIn with Jonathan Hung - #314

    Publié: 04/11/2019
18. Machine Learning at GitHub with Omoju Miller - #313

    Publié: 31/10/2019
19. Using AI to Diagnose and Treat Neurological Disorders with Archana Venkataraman - #312

    Publié: 28/10/2019
20. Deep Learning for Earthquake Aftershock Patterns with Phoebe DeVries & Brendan Meade - #311

    Publié: 25/10/2019