Joseph, Manu
Modern Time Series Forecasting with Python: Explore industry-ready time series forecasting using modern machine learning and deep learning
- ISBN 13:
- 9781803246802
- author:
- Joseph, Manu
- format:
- Paperback
- publisher:
- Packt Publishing
- language:
- English
- Publication Year:
- 2022
- Pages:
- 552
- Dimensions:
- 23.5 x 19.1 x 2.8 centimetres (1
- Genre:
- Computers, Programming, Python,
- Condition:
- New
- Availability:
- Item usually sent within 7 working days
Description
Build real-world time series forecasting systems that scale to millions of data points using modern machine learning and deep learning concepts. This comprehensive guide covers industry-tested techniques for forecasting energy and other datasets, taking you beyond classical statistical methods. You'll learn how to analyze, visualize, and create state-of-the-art forecasting systems using machine learning and deep learning models. The book covers topics such as global forecasting models, cross-validation strategies, and forecast metrics, providing a hands-on journey to develop your skills in data handling, visualization, and model interpretation. By the end of this book, you'll be able to build world-class time series forecasting systems and tackle problems in the real world using modern machine learning and deep learning techniques.
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