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Do We Need Deep Learning in Time Series

Jun 16, 2021
29:19
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1
Introduction
00:00 • 2min
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2
Do We Really Need Deep Learning Models for Time Series Forecasting?
01:35 • 2min
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3
Time Series Forecasting
03:09 • 3min
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4
Arema Forecasting
05:42 • 3min
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5
Getting Your Hands Dirty
08:18 • 2min
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6
The Head to Head Comparison
10:47 • 3min
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7
Vertica - Analytics for Pioneers
13:47 • 2min
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8
Is the Spread of Performance a Good Idea?
15:25 • 2min
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9
The Pros and Cons of Deep Learning Models for Time Series for Casting
17:21 • 2min
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10
The New Trend in Machine Learning - Transformer Models and the Attention Mechanism
19:00 • 2min
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11
Reproducibility in Deep Learning Models
20:34 • 2min
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12
Is There a Way to Start Using Machine Learning?
22:47 • 4min
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13
Using Deep Learning Models to Build a Grade All Rounder?
26:25 • 2min
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14
The Science of Data Sceptic Time Series
28:29 • 42sec
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Shereen Elsayed and Daniela Thyssens, both are PhD Student at Hildesheim University in Germany, come on today to talk about the work “Do We Really Need Deep Learning Models for Time Series Forecasting?”

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