Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
Introduction
00:00 • 2min
The Importance of Critical Engagement in Data Science
02:28 • 2min
The Challenges of Combining Quantitative and Historical Thinking
04:21 • 2min
The History of Statistics
06:36 • 5min
The Evolution of Statistics
11:11 • 2min
Leo Bryman and the Age of Data Mining
13:27 • 5min
The History of Machine Learning
18:51 • 5min
The Origins of Big Data
23:54 • 4min
The Exuberance of 2009-2010
27:41 • 2min
The Rise of Machine Learning
29:53 • 3min
The Different Types of Machine Learning
32:34 • 2min
The Contrarian View of Deep Learning
34:13 • 2min
Norbert Weener's Social Management System
36:13 • 2min
The Battle for Ethics in Machine Learning
38:11 • 2min
The Evolution of the ML Community
40:16 • 2min
The Rise of Ethics Teams in the Next Year
42:15 • 2min
The History of Statistics
44:02 • 5min