Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12
Introduction
00:00 • 2min
The Evolution of Machine Learning
01:37 • 2min
The Problem of Local Minimization in Machine Learning
03:19 • 2min
Clustering Context
05:32 • 2min
How Does LLoyd's Algertam Work?
07:21 • 2min
Is There a Cost to Soft Clustering?
09:50 • 3min
Is There a Guarantee of Convergence in the Algorithm?
13:07 • 2min
Spring Board Data Science Boot Camp
15:11 • 5min
Do You Credit That With the Harmonic Mean Choice?
19:50 • 5min
Clustering - I Love Camens
24:35 • 3min
Are There Limits to Inference?
27:18 • 2min
Spectral Clustering
28:54 • 4min