Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
Introduction
00:00 • 2min
What Is Your Career Journey So Far?
01:53 • 6min
What Is Business Acumen and Why Is It Important for Data Scientists?
07:39 • 4min
80% of Machine Learning Models Don't Make It Into Production
11:10 • 4min
Getting a Better Return on Data
15:39 • 2min
Getting Feedback From Your End Users
17:38 • 3min
Data Governance Is Everyone's Responsibility
20:25 • 2min
Are You Data Driven or Data Informed?
21:56 • 5min
Machine Learning for Business
26:56 • 3min
Machine Learning Development - What's Next?
30:03 • 3min
Is Scaling a Good Idea?
33:07 • 5min
Engineering Engineered Features and Creating New Features
38:00 • 3min
Is PCA a Last Resort?
40:54 • 3min
Using PCA in a Machine Learning Model
44:19 • 4min
The Most Important Business Skills for Data Professionals
48:13 • 6min
The Most Important Business Skill for Data Professionals Is Networking
53:57 • 3min
Do What You Can. Then Do What's Possible. And Soon You'll Find You're Doing the Impossible.
57:17 • 5min
How Can People Join Our Family Chat Channel?
01:02:23 • 3min