Introduction 1.2 - Motivation and Examples/ClipID:57225 previous clip next clip

Keywords: deep learning time series
Recording date 2025-04-23

Course

Seminar Advances in Deep Learning for Time Series

Lecturer

Dario Zanca

Via

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Language

English

Organisational Unit

Friedrich-Alexander-Universität Erlangen-Nürnberg

Producer

Friedrich-Alexander-Universität Erlangen-Nürnberg

In this section we discussion motivation for studying Deep Learning techniques in the time series domain, together with real.world examples of applications.

Up next in Chapter

Introduction 1.3 - Definitions
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2025-04-23
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Introduction 1.4 - Types of ML
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Introduction 1.5 - ML Pipeline
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Dario Zanca
2025-04-23
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Introduction 1.6 - ML Tasks (for time series)
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Dario Zanca
2025-04-23
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Introduction 1.7 - Recap and conclusions
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Dario Zanca
2025-04-23
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