Time Series Analysis on AWS

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.

Type
ebook
Category
Data
publication date
2022-02-28
what you will learn

Understand how time series data differs from other types of data
Explore the key challenges that can be solved using time series data
Forecast future values of business metrics using Amazon Forecast
Detect anomalies and deliver forewarnings using Lookout for Equipment
Detect anomalies in business metrics using Amazon Lookout for Metrics
Visualize your predictions to reduce the time to extract insights

no of pages
458
duration
916
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
approach
The book provides a hands-on approach to implementation and associated methodologies that will have you up-and-running, and productive in no time.
audience
If you're a data analyst, business analyst, or data scientist looking to analyze time series data effectively for solving business problems, this is the book for you. Basic statistics knowledge is assumed, but no machine learning knowledge is necessary. Prior experience with time series data and how it relates to various business problems will help you get the most out of this book. This guide will also help machine learning practitioners find new ways to leverage their skills to build effective time series-based applications.
meta description
Leverage AWS AI/ML managed services to generate value from your time series data
short description
Time Series Analysis on AWS teaches you how to leverage AI/ML managed services to deliver desired business outcomes with time series data. This book will help you solve modern time series analysis problems such as forecasting and anomaly detection using industrial equipment sensors or business metrics.
subtitle
Learn how to build forecasting models and detect anomalies in your time series data
keywords
Time series analysis, Time series using AWS, Amazon Forecast, Amazon Lookout for Equipment, Amazon Lookout for Metrics
Product ISBN
9781801816847