Time Series Analysis on AWS: Learn how to build forecasting

Time Series Analysis on AWS: Learn how to build forecasting - Michael Hoarau

Published by Packt in 2021, the book is written for data scientists, machine learning engineers, and developers who want to leverage Amazon Web Services to design, train, and deploy forecasting models at scale. Hoarau, an experienced AI and machine learning specialist at AWS, combines theoretical foundations with hands-on tutorials to show how time series analysis can be applied to real-world problems such as demand prediction, financial modeling, and resource planning.

The book begins with the fundamentals of time series analysis, introducing readers to concepts like trend, seasonality, and noise, before moving into advanced forecasting techniques including ARIMA, Prophet, deep learning models, and Amazon Forecast. It then demonstrates how to implement these methods using AWS services such as SageMaker, Forecast, and Lambda, guiding readers through the process of building end-to-end pipelines that are scalable, automated, and production-ready.