Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
Introduction
00:00 • 4min
Is There a Favorite API?
03:39 • 4min
What Are Some Red Flags in a P Is?
07:22 • 1min
How to Documentation a P Is Well?
08:29 • 4min
Is There Any Advice on Dues and Donts for Model Monotrina?
12:04 • 3min
Is There Something Longer Term Than You Think?
14:38 • 3min
How's Life Been Like?
17:23 • 1min
Dosn't Say Print Debugging?
18:35 • 2min
Python Visual Tutor
20:48 • 3min
Debugging Machine Learning - Is Your Model Really Busted?
23:32 • 2min
Debugging a Bug
25:37 • 2min
How to Write a Unit Test
27:43 • 2min
How Much Do You Rely on Code Structure to Help Identifying Issues?
30:08 • 2min
Code Structure
31:40 • 3min
The Cost of Data?
35:02 • 5min
The Block Chain Is Not Data Centric or Model Centric
39:38 • 3min
Do You Know What Makes Data an Asset?
42:36 • 4min
Thea Lexrebin Podcast - Vivin Cn
46:45 • 3min
Machine Learning and Reproducibility
49:39 • 2min
Reproducibility, Machiney, and Machiney
51:44 • 2min