Practical Time Series Analysis

Practical Time Series Analysis
内容简介:

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.


Aileen has worked in corporate law, physics research labs, and, most recently, a variety of NYC tech startups. Her interests range from defensive software engineering to UX designs for reducing cognitive load to the interplay between law and technology. Aileen is currently working at an early-stage NYC startup that has something to do with time series data and neural networks. ...

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读书评论: 更多
  • 子珂
    06-21
    作为介绍不错,但看完了还是"不会"使用时间序列; 感觉缺乏一些足够深入的例子
  • 阿道克
    05-03
    突出了时间序列预测的机器学习方法。工具上混用了R和python,其中用到的R工具太老了
  • 西瓜头
    10-10
    感觉真的太基础了。不过当作初学, 对于涉及的方法有一个大致的了解,还是适合的。
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