Practical time series analysis : prediction with statistics and machine learning

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Tác giả: Aileen Nielsen

Ngôn ngữ: eng

ISBN-10: 1492041653

ISBN-13: 978-1492041658

Ký hiệu phân loại: 006.31 Machine learning

Thông tin xuất bản: Sebastopol, CA : O'Reilly Media, Inc., 2020

Mô tả vật lý: xvi, 480 pages : , illustrations ; , 24 cm

Bộ sưu tập: Công nghệ thông tin

ID: 149543

"Time series data analysis is increasingly important due to the massive production of such data through the internet of things, the digitalization of healthcare, and the rise of smart cities. As continuous monitoring and data collection become more common, the need for competent time series analysis with both statistical and machine learning techniques will increase. Covering innovations in time series data analysis and use cases from the real world, this practical guide will help you solve the most common data engineering and analysis challenges in time series, using both traditional statistical and modern machine learning techniques. Author Aileen Nielsen offers an accessible, well-rounded introduction to time series in both R and Python that will have data scientists, software engineers, and researchers up and running quickly."--Amazon.com.
Includes bibliographical references and index.
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