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

Kategorier:
745 Episoder
-
How to Know with Celeste Kidd - #330
Udgivet: 23.12.2019 -
Using Deep Learning to Predict Wildfires with Feng Yan - #329
Udgivet: 20.12.2019 -
Advancing Machine Learning at Capital One with Dave Castillo - #328
Udgivet: 19.12.2019 -
Helping Fish Farmers Feed the World with Deep Learning w/ Bryton Shang - #327
Udgivet: 17.12.2019 -
Metaflow, a Human-Centric Framework for Data Science with Ville Tuulos - #326
Udgivet: 13.12.2019 -
Single Headed Attention RNN: Stop Thinking With Your Head with Stephen Merity - #325
Udgivet: 12.12.2019 -
Automated Model Tuning with SigOpt - #324
Udgivet: 9.12.2019 -
Automated Machine Learning with Erez Barak - #323
Udgivet: 6.12.2019 -
Responsible AI in Practice with Sarah Bird - #322
Udgivet: 4.12.2019 -
Enterprise Readiness, MLOps and Lifecycle Management with Jordan Edwards - #321
Udgivet: 2.12.2019 -
DevOps for ML with Dotscience - #320
Udgivet: 26.11.2019 -
Building an Autonomous Knowledge Graph with Mike Tung - #319
Udgivet: 21.11.2019 -
The Next Generation of Self-Driving Engineers with Aaron Ma - Talk #318
Udgivet: 18.11.2019 -
Spiking Neural Networks: A Primer with Terrence Sejnowski - #317
Udgivet: 14.11.2019 -
Bridging the Patient-Physician Gap with ML and Expert Systems w/ Xavier Amatriain - #316
Udgivet: 11.11.2019 -
What Does it Mean for a Machine to "Understand"? with Thomas Dietterich - #315
Udgivet: 7.11.2019 -
Scaling TensorFlow at LinkedIn with Jonathan Hung - #314
Udgivet: 4.11.2019 -
Machine Learning at GitHub with Omoju Miller - #313
Udgivet: 31.10.2019 -
Using AI to Diagnose and Treat Neurological Disorders with Archana Venkataraman - #312
Udgivet: 28.10.2019 -
Deep Learning for Earthquake Aftershock Patterns with Phoebe DeVries & Brendan Meade - #311
Udgivet: 25.10.2019
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.