The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
En podcast af Sam Charrington - Mandage

Kategorier:
745 Episoder
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AI for Ecology and Ecosystem Preservation with Bryan Carstens - #449
Udgivet: 21.1.2021 -
Off-Line, Off-Policy RL for Real-World Decision Making at Facebook - #448
Udgivet: 18.1.2021 -
A Future of Work for the Invisible Workers in A.I. with Saiph Savage - #447
Udgivet: 14.1.2021 -
Trends in Graph Machine Learning with Michael Bronstein - #446
Udgivet: 11.1.2021 -
Trends in Natural Language Processing with Sameer Singh - #445
Udgivet: 7.1.2021 -
Trends in Computer Vision with Pavan Turaga - #444
Udgivet: 4.1.2021 -
Trends in Reinforcement Learning with Pablo Samuel Castro - #443
Udgivet: 30.12.2020 -
MOReL: Model-Based Offline Reinforcement Learning with Aravind Rajeswaran - #442
Udgivet: 28.12.2020 -
Machine Learning as a Software Engineering Enterprise with Charles Isbell - #441
Udgivet: 23.12.2020 -
Natural Graph Networks with Taco Cohen - #440
Udgivet: 21.12.2020 -
Productionizing Time-Series Workloads at Siemens Energy with Edgar Bahilo Rodriguez - #439
Udgivet: 18.12.2020 -
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
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.