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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

Following is the list of the references used in this chapter:

  1. Dzmitry Bahdanau, KyungHyun Cho, and Yoshua Bengio (2015). Neural Machine Translation by Jointly Learning to Align and Translate. In 3rd International Conference on Learning Representations. https://arxiv.org/pdf/1409.0473.pdf
  2. Thang Luong, Hieu Pham, and Christopher D. Manning (2015). Effective Approaches to Attention-based Neural Machine Translation. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing. https://aclanthology.org/D15-1166/
  3. André F. T. Martins, Ramón Fernandez Astudillo (2016). From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification. In Proceedings of the 33rd International Conference on Machine Learning. http://proceedings.mlr.press/v48/martins16.html
  4. Ben Peters, Vlad Niculae, André F. T. Martins (2019). Sparse Sequence-to-Sequence Models. In Proceedings of the 57th Annual Meeting of the Association...
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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