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Fixing Your ML Data Blind Spots // Yash Sheth // MLOps Coffee Sessions #102

Jun 10, 2022
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1
Introduction
00:00 • 3min
2
Machine Learning and Deep Learning - What's Your Take on Synthetic Data?
02:34 • 4min
3
The Challenges in the Instructor Data
07:00 • 4min
4
How to Cure Unstructured Data?
10:57 • 2min
5
Deep Learning and the Post Training Phase
13:16 • 5min
6
The Difference Between Small Teams and Large Teams
18:25 • 3min
7
Data Specific Tooling That Can Help Data Scientists Quickly Understand Issues
21:27 • 3min
8
Unstructured Data - Is There a Specific Unstructure Data Problem?
24:34 • 2min
9
You Just Don't Need to Know Calculus to Be a Day a Scientist?
26:39 • 4min
10
Synthetic Data and the Challenges It Faces in Unstructured Data
30:19 • 5min
11
What Kinds of Users Benefit the Most From Galileo?
35:26 • 3min
12
I Need One Slide, Give Me the Benefits and Why We Need It
38:22 • 3min
13
Machine Learning - Data Centric Focus Is a Key Way to Succeed
41:41 • 4min
14
The Trade of Uh, by Kevin Many I Have Here
45:20 • 3min
15
The Most Ridiculous Thing You Almost Did on the Marketing Side?
48:13 • 2min
16
I'm Quite Foolish on Quantum Computing, Right?
49:56 • 2min