Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13
Introduction
00:00 • 2min
Data Analytics and Machine Learning - What's Your Background?
01:34 • 2min
The History of Data Science Project
04:03 • 3min
Data Science
07:16 • 2min
What's the Target Audience of the Web?
09:43 • 2min
Who Contributes the Most to Machine Learning?
11:40 • 4min
Machine Learning and the Big Players in the Arena
16:03 • 5min
Is There a Barrier to Training a Model?
20:42 • 3min
Is the Attic Model Ethical?
23:20 • 4min
Is There an Ethical Crusader on the Web?
27:10 • 4min
The Human Factor in Artificial Intelligence
31:04 • 2min
Do You See the Future of the Eye?
33:33 • 3min
The Important Thing Is Not to Stop Questioning
36:52 • 3min