Modern Time Series Forecasting with Python
Explore industry-ready time series forecasting using modern machine learning and deep learning
$116.87
- Paperback
552 pages
- Release Date
6 June 2022
Summary
Build real-world time series forecasting systems which scale to millions of time series by applying modern machine learning and deep learning concepts
Key Features
- Explore industry-tested machine learning techniques used to forecast millions of time series
- Get started with the revolutionary paradigm of global forecasting models
- Get to grips with new concepts by applying them to real-world datasets of energy forecasting
Book Details
| ISBN-13: | 9781803246802 |
|---|---|
| ISBN-10: | 1803246804 |
| Author: | Manu Joseph |
| Publisher: | Packt Publishing Limited |
| Imprint: | Packt Publishing Limited |
| Format: | Paperback |
| Number of Pages: | 552 |
| Release Date: | 6 June 2022 |
| Weight: | 1.01kg |
| Dimensions: | 235mm x 191mm |
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About The Author
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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