Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11
Introduction
00:00 • 2min
Is Explainability a Hot Topic for Machine Learning?
01:36 • 2min
Unsupervised Learning
03:09 • 3min
Why You Don't Want to Ask Too Many Questions to Clusters?
05:48 • 2min
Clustering - Is There Any Concern That the Decision Tree Couldn't Explain?
07:45 • 2min
Having a Shorter Tree Depth
09:19 • 3min
Machine Learning - Clear M L Is the Best Collaborative M L Tool
12:01 • 2min
Do You Want a Better Partition?
13:47 • 2min
How to Use a Small Penalty in Clustering?
15:44 • 4min
How Does Yourogorithm Fare?
19:38 • 3min
How Many Clusters Should I Have?
22:10 • 4min