

Episode 522: Noah Gift on MLOps
7 snips Jul 27, 2022
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
Introduction
00:00 • 2min
DevOps Versus Machine Learning?
01:34 • 3min
How to Reach the True Potential of Machine Learning?
04:45 • 5min
Machine Learning - What Are the Challenges of DevOps?
09:58 • 3min
Continuous Integration on Machine Learning Models
12:29 • 2min
Is There a Way to Reproduce Model Performance?
14:40 • 2min
Are There Bots on Twitter?
16:51 • 3min
Is Your Model Corrupting Your Model?
19:45 • 3min
AB Testing
22:59 • 2min
Is There a Meta Data Science Layer to Machine Learning?
24:54 • 4min
Are You Harming Humans at Scale?
28:54 • 3min
How Does Machine Learning Runtime Affect Your Business?
32:16 • 2min
Is There Traction With AutoML?
34:29 • 2min
Is There a Difference Between Datacentric and Datacentric?
36:28 • 3min
Cloud Platforms
39:13 • 2min
Machine Learning
41:35 • 3min
Machine Learning - Is There a One Size Fits All Solution?
44:12 • 2min
Can You Train Your Model on Data That's Publicly Put Into the System?
46:19 • 2min
What Are the Biggest Changes in Machine Learning?
48:16 • 4min