Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14
Introduction
00:00 • 2min
Do We Really Need Deep Learning Models for Time Series Forecasting?
01:35 • 2min
Time Series Forecasting
03:09 • 3min
Arema Forecasting
05:42 • 3min
Getting Your Hands Dirty
08:18 • 2min
The Head to Head Comparison
10:47 • 3min
Vertica - Analytics for Pioneers
13:47 • 2min
Is the Spread of Performance a Good Idea?
15:25 • 2min
The Pros and Cons of Deep Learning Models for Time Series for Casting
17:21 • 2min
The New Trend in Machine Learning - Transformer Models and the Attention Mechanism
19:00 • 2min
Reproducibility in Deep Learning Models
20:34 • 2min
Is There a Way to Start Using Machine Learning?
22:47 • 4min
Using Deep Learning Models to Build a Grade All Rounder?
26:25 • 2min
The Science of Data Sceptic Time Series
28:29 • 42sec