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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 are the references used in this chapter:

  1. Tashman, Len. (2000). Out-of-sample tests of forecasting accuracy: An analysis and review. International Journal of Forecasting. 16. 437-450. 10.1016/S0169-2070(00)00065-0: https://www.researchgate.net/publication/223319987_Out-of-sample_tests_of_forecasting_accuracy_An_analysis_and_review
  2. Bergmeir, Christoph and Benítez, José M. (2012). On the use of cross-validation for time series predictor evaluation. In Information Sciences, Volume 191, 2012, Pages 192-213: https://www.sciencedirect.com/science/article/abs/pii/S0020025511006773
  3. Cerqueira, V., Torgo, L., and Mozetič, I. (2020). Evaluating time series forecasting models: an empirical study on performance estimation methods. Mach Learn 109, 1997–2028 (2020): https://doi.org/10.1007/s10994-020-05910-7
  4. Snijders, T.A.B. (1988). On Cross-Validation for Predictor Evaluation in Time Series. In: Dijkstra, T.K. (eds) On Model Uncertainty...
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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