The MLOps Podcast

🎓 MLOps lessons learned helping companies build their ML systems with Lee Harper, Lead DS at Catapult

Nov 4, 2021
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1
Introduction
00:00 • 2min
2
Tein, Machine Learning, a Nu Su Position
01:53 • 4min
3
Getting a Master's Degree in Machine Learning?
06:01 • 2min
4
Is There a Diversity of Backgrounds in Data Science?
08:08 • 4min
5
Is There a Major Shift in Production for Machine Learning?
12:07 • 2min
6
Is There a Common Use Case Right Now?
14:19 • 4min
7
Do You Think It's More Common in Data Science Than Soft Development?
18:34 • 2min
8
Goling Is the Single Most Important Skill in This Field
20:45 • 4min
9
Machine Learning - How Do You Enable Machine Learning?
25:13 • 2min
10
Is There a Solution for Scalable Cloud Computing?
27:41 • 4min
11
How to Start Up a Data Security Solution?
31:26 • 4min
12
Machine Lo Systems Responsibilities
35:24 • 3min
13
The Bar for Atonymous Pekles
38:30 • 1min
14
Is It Possible to Build a Fair Model?
39:58 • 2min
15
Ias Is Incoded in All Kinds of Ways
42:01 • 4min
16
The Challenges of Machine Learning in Production
46:14 • 2min
17
The Classic Kinof Errors
48:27 • 5min
18
Tooling Advice
53:10 • 2min
19
Yb E Wo on We Captis, I Dare Not.
55:17 • 4min
20
I've Been Using Windows for a While Now.
59:13 • 3min
21
What Happens Before I Start Working?
01:01:52 • 5min
22
Are You Building the Right Thing?
01:06:25 • 2min