The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
En podcast af Sam Charrington
754 Episoder
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ML Feature Store at Intuit with Srivathsan Canchi - #438
Udgivet: 16.12.2020 -
re:Invent Roundup 2020 with Swami Sivasubramanian - #437
Udgivet: 14.12.2020 -
Predictive Disease Risk Modeling at 23andMe with Subarna Sinha - #436
Udgivet: 11.12.2020 -
Scaling Video AI at RTL with Daan Odijk - #435
Udgivet: 9.12.2020 -
Benchmarking ML with MLCommons w/ Peter Mattson - #434
Udgivet: 7.12.2020 -
Deep Learning for NLP: From the Trenches with Charlene Chambliss - #433
Udgivet: 3.12.2020 -
Feature Stores for Accelerating AI Development - #432
Udgivet: 30.11.2020 -
An Exploration of Coded Bias with Shalini Kantayya, Deb Raji and Meredith Broussard - #431
Udgivet: 27.11.2020 -
Common Sense as an Algorithmic Framework with Dileep George - #430
Udgivet: 23.11.2020 -
Scaling Enterprise ML in 2020: Still Hard! with Sushil Thomas - #429
Udgivet: 19.11.2020 -
Enabling Clinical Automation: From Research to Deployment with Devin Singh - #428
Udgivet: 16.11.2020 -
Pixels to Concepts with Backpropagation w/ Roland Memisevic - #427
Udgivet: 12.11.2020 -
Fighting Global Health Disparities with AI w/ Jon Wang - #426
Udgivet: 9.11.2020 -
Accessibility and Computer Vision - #425
Udgivet: 5.11.2020 -
NLP for Equity Investing with Frank Zhao - #424
Udgivet: 2.11.2020 -
The Future of Education and AI with Salman Khan - #423
Udgivet: 28.10.2020 -
Why AI Innovation and Social Impact Go Hand in Hand with Milind Tambe - #422
Udgivet: 23.10.2020 -
What's Next for Fast.ai? w/ Jeremy Howard - #421
Udgivet: 21.10.2020 -
Feature Stores for MLOps with Mike del Balso - #420
Udgivet: 19.10.2020 -
Exploring Causality and Community with Suzana Ilić - #419
Udgivet: 16.10.2020
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.