Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13
Introduction
00:00 • 2min
Data Analytics, Data Analytics and Machine Learning
01:36 • 2min
The History of Data Science Project
04:03 • 3min
History of Data Science
07:16 • 2min
What's Your Target Audience?
09:43 • 2min
Who Has Contributed the Most to AI and Machine Learning?
11:54 • 4min
The Big Players in Machine Learning?
16:02 • 5min
How Much Does It Cost to Train a Deploning Model?
20:40 • 3min
Is That Model Ethical?
23:14 • 4min
Is There an Ethical Crusader in Data Science?
27:05 • 4min
Is There a Human Factor in Data Science?
30:59 • 2min
The Future of the Eye
33:27 • 3min
The Importance of Not Stopping Questioning
36:46 • 3min