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.

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Spis treści

Time Series Analysis on AWS. Learn how to build forecasting models and detect anomalies in your time series data eBook -- spis treści

• 1. An Overview of Time Series Analysis
• 2. An Overview of Amazon Forecast
• 3. Creating a Project and Ingesting Your Data
• 4. Training a Predictor with AutoML
• 5. Customizing Your Predictor Training
• 6. Generating New Forecasts
• 7. Improving and Scaling Your Forecast Strategy
• 8. An Overview of Amazon Lookout for Equipment
• 9. Creating a Dataset and Ingesting Your Data
• 10. Training and Evaluating a Model
• 11. Scheduling Regular Inferences
• 12. Reducing Time to Insights for Anomaly Detections
• 13. An Overview of Amazon Lookout for Metrics
• 14. Creating and Activating a Detector
• 15. Viewing Anomalies and Providing Feedback