Название: Practical Time Series Analysis: Prediction with Statistics and Machine Learning (Early Release) Автор: Aileen Nielsen
Издательство: O’Reilly Media
ISBN: 1492041653
Год: 2019
Страниц: 159
Язык: английский
Формат: pdf, djvu
Размер: 10.17 MB
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.
Let’s start from scratch. What is time series analysis? Time series analysis is the endeavor of extracting meaningful summary and statistical information from points arranged in chronological order. This is done to diagnose past behavior as well as to predict future behavior. In this book we will use a variety of approaches, ranging from hundred-year-old statistical models to newly developed neural network architectures.
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