Practical Time Series Analysis: Prediction with Statistics and Machine Learning (Paperback)

Aileen Nielsen

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商品描述

Solve the most common data engineering and analysis challenges for modern time series data. This book provides an accessible well-rounded introduction to time series in both R and Python that will have software engineers, data scientists, and researchers up and running quickly and competently to do time-related analysis in their field of interest.

Author Aileen Nielsen also offers practical guidance and use cases from the real world, ranging from healthcare and finance to scientific measurements and social science projections. This book offers a more varied and cutting-edge approach to time series than is available in existing books on this topic.

商品描述(中文翻譯)

解決現代時間序列資料中最常見的資料工程和分析挑戰。本書提供了一個易於理解且全面的時間序列介紹,使用R和Python兩種程式語言,讓軟體工程師、資料科學家和研究人員能夠快速且熟練地進行與時間相關的分析。

作者Aileen Nielsen還提供了來自現實世界的實用指導和使用案例,涵蓋了從醫療保健和金融到科學測量和社會科學預測的各個領域。本書提供了比現有相關書籍更多元且尖端的時間序列方法。