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portada Time Series Analysis on AWS: Learn how to build forecasting models and detect anomalies in your time series data (in English)
Type
Physical Book
Language
English
Pages
458
Format
Paperback
Dimensions
23.5 x 19.1 x 2.4 cm
Weight
0.78 kg.
ISBN13
9781801816847

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

Michaël Hoarau (Author) · Packt Publishing · Paperback

Time Series Analysis on AWS: Learn how to build forecasting models and detect anomalies in your time series data (in English) - Hoarau, Michaël

Physical Book

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

Leverage AWS AI/ML managed services to generate value from your time series dataKey Features: Solve modern time series analysis problems such as forecasting and anomaly detectionGain a solid understanding of AWS AI/ML managed services and apply them to your business problemsExplore different algorithms to build applications that leverage time series dataBook 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 dataExplore the key challenges that can be solved using time series dataForecast future values of business metrics using Amazon ForecastDetect anomalies and deliver forewarnings using Lookout for EquipmentDetect anomalies in business metrics using Amazon Lookout for MetricsVisualize your predictions to reduce the time to extract insightsWho 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.

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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.

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