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
Predictive and Prescriptive Performance of Bike Shearing
01:53 • 4min
Bike Sharing
05:25 • 2min
How to Transform the Historical Data?
07:06 • 2min
The Interaction Between Forecasting and Decision Making
08:44 • 2min
Is There a Lot of Uncertainty in Bike Sharing?
10:38 • 2min
Predicting Hourly Trends
12:20 • 2min
Variational Outen Qotors - The Difference Between Deep and Discriminative Models
14:23 • 2min
Linkton Jobs - The Platform for Everyday a I
16:20 • 3min
Deep Generative Model Approach
18:55 • 2min
Are You Able to Leverage That to Inform the Actual Decisions?
20:39 • 3min
What Are the Differences Between Pick Up and Return Patterns?
23:44 • 2min
The Interaction Between Inbound and Outbound Is What Makes a Difference
26:14 • 4min
The Biggest Limitations of Mat Learning Research
29:58 • 2min
Is There a Phase of Rompath in Forecasting?
31:46 • 3min
Are There Any Data Sets That Could Better Inform the Process?
34:22 • 2min
Predictive Acuracy
36:38 • 4min