The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Un pódcast de Sam Charrington
753 Episodo
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re:Invent Roundup 2020 with Swami Sivasubramanian - #437
Publicado: 14/12/2020 -
Predictive Disease Risk Modeling at 23andMe with Subarna Sinha - #436
Publicado: 11/12/2020 -
Scaling Video AI at RTL with Daan Odijk - #435
Publicado: 9/12/2020 -
Benchmarking ML with MLCommons w/ Peter Mattson - #434
Publicado: 7/12/2020 -
Deep Learning for NLP: From the Trenches with Charlene Chambliss - #433
Publicado: 3/12/2020 -
Feature Stores for Accelerating AI Development - #432
Publicado: 30/11/2020 -
An Exploration of Coded Bias with Shalini Kantayya, Deb Raji and Meredith Broussard - #431
Publicado: 27/11/2020 -
Common Sense as an Algorithmic Framework with Dileep George - #430
Publicado: 23/11/2020 -
Scaling Enterprise ML in 2020: Still Hard! with Sushil Thomas - #429
Publicado: 19/11/2020 -
Enabling Clinical Automation: From Research to Deployment with Devin Singh - #428
Publicado: 16/11/2020 -
Pixels to Concepts with Backpropagation w/ Roland Memisevic - #427
Publicado: 12/11/2020 -
Fighting Global Health Disparities with AI w/ Jon Wang - #426
Publicado: 9/11/2020 -
Accessibility and Computer Vision - #425
Publicado: 5/11/2020 -
NLP for Equity Investing with Frank Zhao - #424
Publicado: 2/11/2020 -
The Future of Education and AI with Salman Khan - #423
Publicado: 28/10/2020 -
Why AI Innovation and Social Impact Go Hand in Hand with Milind Tambe - #422
Publicado: 23/10/2020 -
What's Next for Fast.ai? w/ Jeremy Howard - #421
Publicado: 21/10/2020 -
Feature Stores for MLOps with Mike del Balso - #420
Publicado: 19/10/2020 -
Exploring Causality and Community with Suzana Ilić - #419
Publicado: 16/10/2020 -
Decolonizing AI with Shakir Mohamed - #418
Publicado: 14/10/2020
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.