Book description
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
- 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
Who this book is for
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.
Table of contents
- Time Series Analysis on AWS
- Contributors
- About the author
- About the reviewers
- Preface
- Section 1: Analyzing Time Series and Delivering Highly Accurate Forecasts with Amazon Forecast
- Chapter 1: An Overview of Time Series Analysis
- Chapter 2: An Overview of Amazon Forecast
- Chapter 3: Creating a Project and Ingesting Your Data
- Chapter 4: Training a Predictor with AutoML
- Chapter 5: Customizing Your Predictor Training
- Chapter 6: Generating New Forecasts
- Chapter 7: Improving and Scaling Your Forecast Strategy
- Section 2: Detecting Abnormal Behavior in Multivariate Time Series with Amazon Lookout for Equipment
- Chapter 8: An Overview of Amazon Lookout for Equipment
- Chapter 9: Creating a Dataset and Ingesting Your Data
- Chapter 10: Training and Evaluating a Model
- Chapter 11: Scheduling Regular Inferences
- Chapter 12: Reducing Time to Insights for Anomaly Detections
- Section 3: Detecting Anomalies in Business Metrics with Amazon Lookout for Metrics
- Chapter 13: An Overview of Amazon Lookout for Metrics
- Chapter 14: Creating and Activating a Detector
- Chapter 15: Viewing Anomalies and Providing Feedback
- Other Books You May Enjoy
Product information
- Title: Time Series Analysis on AWS
- Author(s):
- Release date: February 2022
- Publisher(s): Packt Publishing
- ISBN: 9781801816847
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