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Published inNov 2022
PublisherPackt
ISBN-139781803246802
Edition1st Edition
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Manu Joseph
Manu Joseph
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Manu Joseph

Manu Joseph is a self-made data scientist with more than a decade of experience working with many Fortune 500 companies enabling digital and AI transformations, specifically in machine learning-based demand forecasting. He is considered an expert, thought leader, and strong voice in the world of time series forecasting. Currently, Manu leads applied research at Thoucentric, where he advances research by bringing cutting-edge AI technologies to the industry. He is also an active open-source contributor and developed an open-source library—PyTorch Tabular—which makes deep learning for tabular data easy and accessible. Originally from Thiruvananthapuram, India, Manu currently resides in Bengaluru, India, with his wife and son
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References

The following is a list of the references that we used throughout this chapter:

  1. Spyros Makridakis, Evangelos Spiliotis, and Vassilios Assimakopoulos. (2020). The M4 Competition: 100,000 time series and 61 forecasting methods. International Journal of Forecasting, Volume 36, Issue 1. Pages 54-74. https://doi.org/10.1016/j.ijforecast.2019.04.014.
  2. Slawek Smyl. (2018). M4 Forecasting Competition: Introducing a New Hybrid ES-RNN Model. https://www.uber.com/blog/m4-forecasting-competition/.
  3. Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, and Yoshua Bengio. (2020). N-BEATS: Neural basis expansion analysis for interpretable time series forecasting. 8th International Conference on Learning Representations, (ICLR). https://openreview.net/forum?id=r1ecqn4YwB.
  4. Kin G. Olivares and Cristian Challu and Grzegorz Marcjasz and R. Weron and A. Dubrawski. (2022). Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx. International...
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You have been reading a chapter from
Modern Time Series Forecasting with Python
Published in: Nov 2022Publisher: PacktISBN-13: 9781803246802

Author (1)

author image
Manu Joseph

Manu Joseph is a self-made data scientist with more than a decade of experience working with many Fortune 500 companies enabling digital and AI transformations, specifically in machine learning-based demand forecasting. He is considered an expert, thought leader, and strong voice in the world of time series forecasting. Currently, Manu leads applied research at Thoucentric, where he advances research by bringing cutting-edge AI technologies to the industry. He is also an active open-source contributor and developed an open-source library—PyTorch Tabular—which makes deep learning for tabular data easy and accessible. Originally from Thiruvananthapuram, India, Manu currently resides in Bengaluru, India, with his wife and son
Read more about Manu Joseph