Preface

As a business analyst or data scientist, you will have to use many algorithms and approaches to prepare, process, and build machine learning (ML)-based applications by leveraging time series data, but you will likely face problems such as not knowing which algorithm to choose or how to combine and interpret these algorithms. Amazon Web Services (AWS) provides numerous services to help you build applications fueled by artificial intelligence (AI) capabilities. This book will see you get to grips with three AWS AI/ML managed services and enable you to deliver your desired business outcomes.

The book begins with Amazon Forecast, where you'll discover how to use time series forecasting and sophisticated statistical and ML algorithms to deliver business outcomes accurately. You'll then learn how to use Amazon Lookout for Equipment to build multivariate time series anomaly detection models geared toward industrial equipment and discover how it provides valuable insights to support teams with predictive maintenance and predictive quality use cases. In the final chapters, you'll explore Amazon Lookout for Metrics and automatically detect and diagnose outliers in your business and operational data.

By the end of this AWS book, you'll have learned how to use the three AWS AI services effectively to perform time series analysis.