Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12
Introduction
00:00 • 3min
How to Start a Machine Learning Project
02:31 • 5min
How to Start a Proof of Value With an External Customer
07:52 • 6min
How to Ensure That ML Models Have a Profound Impact, Continue to Stay
13:34 • 2min
How to Get User Feedback Early On
15:16 • 5min
How to Be a Data Scientist
20:33 • 2min
The Barriers to Scalability of ML Based Value Capture
22:28 • 2min
The Importance of an Implemented AI Strategy
24:42 • 2min
The Importance of a Successful AI Strategy
26:29 • 3min
The Risks of Machine Learning Products
29:22 • 3min
The Importance of Risk Assessment in Agile Development
32:33 • 6min
The Diversity of Data Science
38:15 • 2min