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Modern Time Series Analysis | SciPy 2019 Tutorial | Aileen Nielsen

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Modern Time Series Analysis | SciPy 2019 Tutorial | Aileen Nielsen

219,712 views October 27, 2019 3:12:13

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This tutorial will cover the newest and most successful methods of time series analysis. 1. Bayesian methods for time series 2. Adapting common machine learning methods for time series 3. Deep learning for time series These methods are producing state-of-the-art results in a variety of disciplines, and attendees will learn both the underlying concepts and the Python implementations and uses of these analytical approaches to generate forecasts and estimate uncertainty for a variety of scientific time series.
Tutorial information may be found at scipy2019.scipy.org/tutorial-participant-instru…
See the full SciPy 2019 playlist at youtube.com/playlist?list=PLYx7XA2nY5GcDQblpQ_M…
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About this tutorial

Enthought published this 3:12:13 video tutorial on October 27, 2019. It has been watched 219,712 times on YouTube.

Channel
Enthought
Duration
3:12:13
Published
October 27, 2019
Views
219,712
Likes
4,839

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