Published Apr 2, 2018
Systems and Software for Machine Learning at Scale with Jeff Dean - #124
Jeff Dean, Google's Senior Fellow, delves into the groundbreaking influence of open source innovations like TensorFlow and Mapreduce in machine learning, explores the deep learning revolution at Google, and highlights the role of Tensor Processing Units (TPUs) in advancing the scalability and performance of AI applications.
Topics covered
Popular Clips
Episode Highlights
Related Episodes
Machine Learning as a Software Engineering Discipline with Dillon Erb - #404
Answers 383 questions
Applied Machine Learning for Publishers with Naveed Ahmad - TWiML Talk #182
Answers 383 questions
Web Scale Engineering for Machine Learning with Sharath Rao - #40
Answers 383 questions
Bighead: Airbnb's Machine Learning Platform with Atul Kale - TWiML Talk #198
Answers 383 questions
Scaling TensorFlow at LinkedIn with Jonathan Hung - #314
Answers 383 questions
Productive Machine Learning at LinkedIn with Bee-Chung Chen - TWiML Talk #200
Answers 383 questions
Scaling Enterprise ML in 2020: Still Hard! with Sushil Thomas - #429
Answers 383 questions
Engineering Production NLP Systems at T-Mobile - 600
Answers 383 questions
Machine Learning Platforms at Uber with Mike Del Balso - #115
Answers 383 questions
Interactive Machine Learning Systems with Alekh Agarwal - #17
Answers 383 questionsCompositional ML and the Future of Software Development with Dillon Erb - #520
Answers 383 questions
Scaling Deep Learning: Systems Challenges & More with Shubho Sengupta - #14
Answers 383 questions
