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