The Conference for Machine Learning Innovation

Deep Learning: the final Frontier for Time Series Analysis?

Session
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Register until January 23:
✓Raspberry Pi or C64 Mini for free
✓Save up to $310
✓ Group Discount
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Register until March 5:
✓ML Intro Day for free
✓Save up to 500 €
✓10 % Team Discount
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Join the ML Revolution!
Until Conference starts:
✓Special discount for Freelancers
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Join the ML Revolution!
Until Conference starts:
✓Special discount for Freelancers
✓10% Team Discount
Register Now
Infos
Tuesday, December 10 2019
10:15 - 11:00
Room:
Saal A+B

It’s not a secret, that deep learning already made a revolution in several perception fields as vision, language and speech understanding and keeps pushing the frontiers. Meanwhile, one important data type which includes time series, digital signals and any sequential observations is still mainly processed with rather standard mathematical and algorithmic routines. In this talk, we will review, what are the main
sources of time series in the world, what are the "basic" algorithms and how exactly they might be improved and replaced with different neural network architectures. Apart of the models’ details, we will also study the typical tasks that have to be solved while working with time series: classification, prediction, anomaly detection, simulation and others and exactly deep learning can be leveraged to solve them on the state-of-the-art level. Some previous experience with time series/signal processing is useful, but not required.

This Session belongs to the Diese Session gehört zum Programm vom MunichMunich and  und BerlinBerlin program. Take me to the program of . Hier geht es zum Programm von Singapore Singapore .

Take me to the full program of Zum vollständigen Programm von Munich Munich .

Take me to the full program of Zum vollständigen Programm von Berlin Berlin .

This Session Diese Session belongs to the gehört zum Programm von MunichMunich and  und BerlinBerlin program. Take me to the current program of . Hier geht es zum aktuellen Programm von Singapore Singapore , Munich Munich or oder Berlin Berlin .

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