Published Sep 7, 2023
Shreya Shankar: Machine Learning in the Real World
Shreya Shankar delves into the complexities of machine learning in production, examining the transition to streaming evaluation, data partitioning for temporal shifts, and maintaining model accuracy amidst delayed labels, while offering innovative insights on MLOps and the evolution of AI tools and systems.

Topics covered
Popular Clips
Questions from this episode
- Asked by 39 people
- Asked by 33 people
- Asked by 21 people
- Asked by 2 people
Episode Highlights
Related Episodes


Hugo Larochelle: Deep Learning as Science
Answers 383 questions

Kate Park: Data Engines for Vision and Language
Answers 383 questions

Chip Huyen: Machine Learning Tools and Systems
Answers 383 questions

Ben Wellington: ML for Finance and Storytelling through Data
Answers 383 questions

Shiv Rao: Enabling Better Patient Care with AI
Answers 383 questions

Soumith Chintala: PyTorch
Answers 383 questions

Ted Underwood: Machine Learning and the Literary Imagination
Answers 383 questions

Kyunghyun Cho: Neural Machine Translation, Language, and Doing Good Science
Answers 383 questions

Suhail Doshi: The Future of Computer Vision
Answers 383 questions

Divyansh Kaushik: The Realities of AI Policy
Answers 383 questions

Anant Agarwal: AI for Education
Answers 383 questions

Vivek Natarajan: Towards Biomedical AI
Answers 383 questions

Sasha Rush: Building Better NLP Systems
Answers 383 questions

Daniel Situnayake: AI on the Edge
Answers 383 questions
