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You're reading from  Deep Learning for Time Series Cookbook

Product typeBook
Published inMar 2024
PublisherPackt
ISBN-139781805129233
Edition1st Edition
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Authors (2):
Vitor Cerqueira
Vitor Cerqueira
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Vitor Cerqueira

​Vitor Cerqueira is a time series researcher with an extensive background in machine learning. Vitor obtained his Ph.D. degree in Software Engineering from the University of Porto in 2019. He is currently a Post-Doctoral researcher in Dalhousie University, Halifax, developing machine learning methods for time series forecasting. Vitor has co-authored several scientific articles that have been published in multiple high-impact research venues.
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Luís Roque
Luís Roque
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Luís Roque

Luís Roque, is the Founder and Partner of ZAAI, a company focused on AI product development, consultancy, and investment in AI startups. He also serves as the Vice President of Data & AI at Marley Spoon, leading teams across data science, data analytics, data product, data engineering, machine learning operations, and platforms. In addition, he holds the position of AI Advisor at CableLabs, where he contributes to integrating the broadband industry with AI technologies. Luís is also a Ph.D. Researcher in AI at the University of Porto's AI&CS lab and oversees the Data Science Master's program at Nuclio Digital School in Barcelona. Previously, he co-founded HUUB, where he served as CEO until its acquisition by Maersk.
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Technical requirements

Before starting, you will need to ensure that your system meets the following technical requirements:

  • Python 3.9: You can download Python from https://www.python.org/downloads/.
  • pip (23.3.1) or Anaconda: These are popular package managers for Python. pip comes with Python by default. Anaconda can be downloaded from https://www.anaconda.com/products/distribution.
  • torch (2.2.0): The main library we will be using for deep learning in this chapter.
  • CUDA (optional): If you have a CUDA-capable GPU on your machine, you can install a version of PyTorch that supports CUDA. This will enable computations on your GPU and can significantly speed up your deep learning experiments.

It’s worth noting that the code presented in this chapter is platform-independent and should run on any system with the preceding requirements satisfied.

The code for this chapter can be found at the following GitHub URL: https://github.com/PacktPublishing/Deep...

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Deep Learning for Time Series Cookbook
Published in: Mar 2024Publisher: PacktISBN-13: 9781805129233

Authors (2)

author image
Vitor Cerqueira

​Vitor Cerqueira is a time series researcher with an extensive background in machine learning. Vitor obtained his Ph.D. degree in Software Engineering from the University of Porto in 2019. He is currently a Post-Doctoral researcher in Dalhousie University, Halifax, developing machine learning methods for time series forecasting. Vitor has co-authored several scientific articles that have been published in multiple high-impact research venues.
Read more about Vitor Cerqueira

author image
Luís Roque

Luís Roque, is the Founder and Partner of ZAAI, a company focused on AI product development, consultancy, and investment in AI startups. He also serves as the Vice President of Data & AI at Marley Spoon, leading teams across data science, data analytics, data product, data engineering, machine learning operations, and platforms. In addition, he holds the position of AI Advisor at CableLabs, where he contributes to integrating the broadband industry with AI technologies. Luís is also a Ph.D. Researcher in AI at the University of Porto's AI&CS lab and oversees the Data Science Master's program at Nuclio Digital School in Barcelona. Previously, he co-founded HUUB, where he served as CEO until its acquisition by Maersk.
Read more about Luís Roque