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Modern Time Series Forecasting: For Predictive Analytics and Anomaly Detection — (0) Preface

Chris Kuo/Dr. Dataman
Dataman in AI
Published in
7 min readApr 24, 2024

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Sample eBook chapters (free): https://github.com/dataman-git/modern-time-series/blob/main/20240522beauty_TOC.pdf

eBook on Teachable.com: $22.50
https://drdataman.teachable.com/p/home

The print edition on Amazon.com: $65 https://a.co/d/25FVsMx

This is the Preface of the book “Modern Time Series Forecasting: From Classical Foundations to Cutting-Edge Applications”.

Time series data is ubiquitous in today’s world, and its analysis is critical for various applications, such as finance, healthcare, and manufacturing. As the volume and complexity of data continue to grow, innovative techniques are needed to address the challenges of the evolving nature of data and effectively identify anomalies in real time. This book provides an overview of classical time series forecasting and then advances to state-of-the-art time series techniques. The contents within these pages are crafted to inform, inspire, and empower your endeavors.

What this book covers

This book organizes time series models and applications into six meticulously crafted parts. Each part equips you with the knowledge and skills to conduct time series forecasting and anomaly…

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