Time Series Analysis on AWS: Learn how to build forecasting models and detect anomalies in your time series data

Amazon Web Services (AWS) provides three AI/ML-managed services to generate value from time series data: Amazon Forecast, Amazon Lookout for Equipment, and Amazon Lookout for Metrics. This book helps data analysts, business analysts, and data scientists understand how to use these services effectively to perform time series analysis, forecast future values, detect anomalies, and deliver forewarnings. Basic statistics knowledge is assumed, but no machine learning knowledge is necessary.

Format: Paperback / softback
Length: 458 pages
Publication date: 28 February 2022
Publisher: Packt Publishing Limited

Leverage AWS AI/ML managed services to generate value from your time series data

Key Features:

Solve modern time series analysis problems such as forecasting and anomaly detection.

Gain a solid understanding of AWS AI/ML managed services and apply them to your business problems.

Explore different algorithms to build applications that leverage time series data.

Book Description:

Being a business analyst and data scientist, you have to use many algorithms and approaches to prepare, process, and build ML-based applications by leveraging time series data, but you face common problems, such as not knowing which algorithm to choose or how to combine and interpret them.

Amazon Web Services (AWS) provides numerous services to help you build applications fueled by artificial intelligence (AI) capabilities. This book helps you get to grips with three AWS AI/ML-managed services to enable you to deliver your desired business outcomes.

The book begins with Amazon Forecast, where you'll discover how to use time series forecasting, leveraging sophisticated statistical and machine learning algorithms to deliver business outcomes accurately. You'll then learn to use Amazon Lookout for Equipment to build multivariate time series anomaly detection models geared toward industrial equipment and understand how it provides valuable insights to reinforce teams focused on predictive maintenance and predictive quality use cases. In the last 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 understood how to use the three AWS AI services effectively to perform time series analysis.

What you will learn:

Understand how time series data differs from other types of data.

Learn to use the three AWS AI services effectively to perform time series analysis.

Deploy and manage time series analysis applications on AWS.

Integrate time series analysis with other AWS services for a complete solution.

Book Details:

Author: [Author's Name]

Publisher: [Publisher's Name]

Published Date: [Published Date]

ISBN: [ISBN Number]

About the Author: [Author's Bio]

Amazon Web Services (AWS) is a cloud computing platform provided by Amazon. It offers a wide range of services, including compute, storage, databases, analytics, networking, mobile, developer tools, management tools, IoT, security, and enterprise applications. AWS has a global presence with regions and availability zones. It is known for its reliability, scalability, and security, and has been used by many organizations to build and run their applications.

In conclusion, this book is a valuable resource for business analysts and data scientists who want to leverage time series data to build ML-based applications. It provides a comprehensive understanding of AWS AI/ML managed services and their applications, and helps you get started with building your own time series analysis applications on AWS. Whether you are new to AWS or have experience with other cloud platforms, this book will help you unlock the potential of time series data and drive business outcomes.

Dimension: 93 x 75 (mm)
ISBN-13: 9781801816847