PyData Global 2022 Day 2 Track 1 (first video)- https://www.youtube.com/watch?v=LjtixglMLCg&t=41s

[WikusBergh]

Timestamps for each individual talk Hope it helps a bit

00:00:00 - Welcome! 00:00:42 - BastionAI: Towards an easy-to-use Privacy-preserving Deep Learning Framework - Daniel Huynh 00:31:38 - ML in Production – What does “Production” even mean? - Dean Pleban 01:00:53 - Don't Stop 'til You Get Enough - Hypothesis Testing Stop Criterion with “Precision Is The Goal” - Eyal Kazin 01:36:28 - Supercharging your pandas workflows with Modin - Alejandro Herrera 02:02:03 - Why we do ML model retraining wrong, and how to do better - Emeli Dral 02:32:02 - Super Search with OpenSearch and Python - Laysa Uchoa 03:01:03 - How to maximally parallelize the entire pandas API - Rehan Durrani 03:30:49 - Exploring Feature Redundancy and Synergy with FACET 2.0 - and Why You Need It to Interpret ML Models Correctly - Mateusz Sokół, Jan Ittner 04:01:20 - Machine Learning Frameworks Interoperability - Christian Hundt, Miguel Martínez 04:30:13- Lessons Learned Building Our Own Dashboard Solution Using Open-Source Technologies - Jan Dix, Zornitsa Manolova, Dominik Jany, Camille Koenders 04:58:49 - Converting sentence-transformers models to a single tensorflow graph - Georgios Balikas 05:30:05 - Steering a data science project - Morgane Mahaud 05:59:21 - The Pythonic Common Chemical Universe - Suliman Sharif 07:02:07 - Keynote - DJ Patill 08:01:22 - Testing Big Data Applications (Spark, Dask, and Ray) - Han Wang 09:00:49 - MLOps for the rest of us: A poor man's guide to putting models in production - Duarte Carmo 09:27:55 - How to Eliminate the I/O Bottleneck and Continuously Feed the GPU While Training in the Cloud - Accelerate Cloud Training with Alluxio - Lu Qiu 10:01:06 - Keynote - Gabriela de Queiroz

[WikusBergh]

Are timestamps for each talk (details of each talk) needed as well?

[Coffee-93]

Are timestamps for each talk (details of each talk) needed as well?

I hope not. "MLOps for the rest of us" [09:00:49] by Duarte Carmo is a hidden gem. Highly recommended.