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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.
Read more about Vitor Cerqueira

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.
Read more about Luís Roque

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Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

anomaly detection

with long short-term memory (LSTM) AE 225-232

Anomaly Detection with Generative Adversarial Networks (AnoGAN) 239

Asynchronous Successive Halving Algorithm (ASHA) 131

attention mechanism 149

autocorrelation

computing 14-16

autocorrelation function (ACF) 48

autoencoders (AEs) 217

building, with PyOD 232-236

Auto-Regressive Distributed Lags (ARDL) 88

Autoregressive Integrated Moving Average (ARIMA) 47

components 48

time series anomaly detection with 218-220

univariate forecasting with 47, 48

B

Box-Cox transformation 80

modeling 81, 82

C

conditional GANs (CGANs) 242

conformal prediction

used, for creating prediction intervals 173-176

Convolutional Neural Networks (CNNs) 64

for TSC 202- 205

training 40, 41

...

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Published in: Mar 2024Publisher: PacktISBN-13: 9781805129233
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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