šāāļømoving fast and breaking data with shreya shankar
Published 1 year ago ā¢ 470 plays ā¢ Length 56:57Download video MP4
Download video MP3
Similar videos
-
24:19
all my machine learning problems are actually data management problems - shreya shankar
-
1:19
shreya shankar: example of sudden data drift
-
55:01
scaling up āvibe checksā for llms - shreya shankar | stanford mlsys #97
-
![towards observability for production machine learning pipelines [shreya shankar]](https://i.ytimg.com/vi/Jw5MJt7KHCU/mqdefault.jpg)
56:30
towards observability for production machine learning pipelines [shreya shankar]
-
54:39
operationalizing machine learning: interview with shreya shankar
-
1:16:37
the gradient podcast - shreya shankar: machine learning in the real world
-
1:15
shreya shankar: what is dataset skew?
-
57:10
towards observability for ml pipelines // shreya shankar // mlops coffee sessions #75
-
15:28
lessons from the journey to become miss india | shreya shanker | tedxsbsc
-
4:47
how to train an llm from scratch for only
-
55:08
drifting away: testing ml models in production
-
23:08
shreya shankar (uc berkeley) - catch me if you can: keeping up with ml in production
-
31:42
harvard medical ai: shreya shankar presents on challenges in real-time ml monitoring
-
59:18
debugging ml in production feat. shreya shankar | stanford mlsys seminar episode 12
-
1:06:34
dsc 102 winter 2021 industry guest lecture: shreya shankar
-
40:36
shreya shankar (machine learning engineer): debugging machine learning in production
-
3:15
a day in the life on an applied ml researcher | shreya shankar @stanford
-
9:17
how "moving fast" could break the world