© 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 ...

Get Time Series Algorithms Recipes: Implement Machine Learning and Deep Learning Techniques with Python now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.