Skip to Main Content
Time Series Algorithms Recipes: Implement Machine Learning and Deep Learning Techniques with Python
book

Time Series Algorithms Recipes: Implement Machine Learning and Deep Learning Techniques with Python

by Akshay R Kulkarni, Adarsha Shivananda, Anoosh Kulkarni, V Adithya Krishnan
December 2022
Beginner to intermediate content levelBeginner to intermediate
188 pages
2h 28m
English
Apress
Content preview from Time Series Algorithms Recipes: Implement Machine Learning and Deep Learning Techniques with Python
© Akshay R Kulkarni, Adarsha Shivananda, Anoosh Kulkarni, V Adithya Krishnan 2023
A. R. Kulkarni et al.Time Series Algorithms Recipeshttps://doi.org/10.1007/978-1-4842-8978-5_5

5. Deep Learning–based Time Series Forecasting

Akshay R Kulkarni1  , Adarsha Shivananda2, Anoosh Kulkarni3 and V Adithya Krishnan4
(1)
Bangalore, Karnataka, India
(2)
Hosanagara, Karnataka, India
(3)
Bangalore, India
(4)
Navi Mumbai, India
 

Deep learning methods offer much promise for time series forecasting, such as automatic learning of temporal dependence and automatic processing of temporal structures such as trends and seasonality.

Due to the increasing availability of data and computing power in recent years, Deep learning has become an essential part of the new generation of ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Machine Learning for Time-Series with Python

Machine Learning for Time-Series with Python

Ben Auffarth
Practical Simulations for Machine Learning

Practical Simulations for Machine Learning

Paris Buttfield-Addison, Mars Buttfield-Addison, Tim Nugent, Jon Manning

Publisher Resources

ISBN: 9781484289785Purchase LinkPublisher Website