The MLOps Podcast

🔥 Getting Data Scientists to Write Better Code with Laszlo Sragner

8 snips
Feb 14, 2022
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1
Introduction
00:00 • 2min
2
Getting a Data Scientist to Write Better Cod
02:00 • 4min
3
Is There a Good Starting Point for Machine Learning?
05:51 • 2min
4
Don't Be Afraid of Your Coat Craft
08:15 • 2min
5
Scaling Up a Data Set
10:40 • 5min
6
The All Effort Is Less Than You Put In
15:14 • 3min
7
Data Engineering
17:52 • 3min
8
Taking Machine Learning Models to Production
21:19 • 5min
9
The Hardest Part of Machine Learning?
26:14 • 3min
10
Using Deep Learning to Solve Hard Problems
29:20 • 4min
11
How to Deploy a Model to Production Without Engineering?
33:08 • 3min
12
Don't Worry About Coat Quality Early On
36:18 • 3min
13
Machine Learning - How Do You Approach the First Ideration?
39:06 • 4min
14
How to Minimize a Problem to a Vertical Slice?
43:27 • 4min
15
Machine Learning and Data Signs Projects - What's the Difference?
47:01 • 3min
16
The Future of Machine Learning?
50:22 • 3min
17
Are Doctor Experts a Good Idea?
53:17 • 3min
18
Is Cross Training a Bad Idea?
56:24 • 2min
19
Machine Learning Is a Business Process Problem
58:32 • 2min
20
Amelops Community, Chipans Amelops Community
01:00:41 • 2min
21
Non Data Science Recommendations?
01:02:12 • 3min