Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12
Introduction
00:00 • 2min
Optimum Transport and Machine Learning
02:10 • 2min
What Is Optimal Transport?
04:30 • 2min
The Application of Machine Learning
06:50 • 2min
Dynamic Time Warping
08:51 • 5min
Data I Co, the Platform for Everyday a I
13:26 • 3min
V P L S Dot Com Slash Go I T
16:06 • 3min
Dynamic Time Worping and Automal Transport Methods
19:21 • 2min
Using a Multi-Dimensional Scaling Aucarithm to Draw a Time Series
20:54 • 4min
How to Solve a Time Series Problem With Dynamic Time Worping
24:48 • 3min
Transport for Machine Learning
27:36 • 2min
What Should Listeners Know About Gaucian Processes?
29:53 • 4min