The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Un podcast de Sam Charrington
753 Épisodes
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Trends in Computer Vision with Amir Zamir - #338
Publié: 13/01/2020 -
Trends in Natural Language Processing with Nasrin Mostafazadeh - #337
Publié: 09/01/2020 -
Trends in Fairness and AI Ethics with Timnit Gebru - #336
Publié: 06/01/2020 -
Trends in Reinforcement Learning with Chelsea Finn - #335
Publié: 02/01/2020 -
Trends in Machine Learning & Deep Learning with Zack Lipton - #334
Publié: 30/12/2019 -
FaciesNet & Machine Learning Applications in Energy with Mohamed Sidahmed - #333
Publié: 27/12/2019 -
Machine Learning: A New Approach to Drug Discovery with Daphne Koller - #332
Publié: 26/12/2019 -
Sensory Prediction Error Signals in the Neocortex with Blake Richards - #331
Publié: 24/12/2019 -
How to Know with Celeste Kidd - #330
Publié: 23/12/2019 -
Using Deep Learning to Predict Wildfires with Feng Yan - #329
Publié: 20/12/2019 -
Advancing Machine Learning at Capital One with Dave Castillo - #328
Publié: 19/12/2019 -
Helping Fish Farmers Feed the World with Deep Learning w/ Bryton Shang - #327
Publié: 17/12/2019 -
Metaflow, a Human-Centric Framework for Data Science with Ville Tuulos - #326
Publié: 13/12/2019 -
Single Headed Attention RNN: Stop Thinking With Your Head with Stephen Merity - #325
Publié: 12/12/2019 -
Automated Model Tuning with SigOpt - #324
Publié: 09/12/2019 -
Automated Machine Learning with Erez Barak - #323
Publié: 06/12/2019 -
Responsible AI in Practice with Sarah Bird - #322
Publié: 04/12/2019 -
Enterprise Readiness, MLOps and Lifecycle Management with Jordan Edwards - #321
Publié: 02/12/2019 -
DevOps for ML with Dotscience - #320
Publié: 26/11/2019 -
Building an Autonomous Knowledge Graph with Mike Tung - #319
Publié: 21/11/2019
Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. The TWIML AI Podcast brings the top minds and ideas from the world of ML and AI to a broad and influential community of ML/AI researchers, data scientists, engineers and tech-savvy business and IT leaders. Hosted by Sam Charrington, a sought after industry analyst, speaker, commentator and thought leader. Technologies covered include machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, computer science, data science and more.