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Time Series Analysis on AWS

Learn how to build forecasting models and detect anomalies in your time series data

Език Английски езикАнглийски език
Книга С меки корици
Книга Time Series Analysis on AWS Michael Hoarau
Код Либристо: 38753380
Издателство Packt Publishing Limited, февруари 2022
Leverage AWS AI/ML managed services to generate value from your time series dataKey Features:Solve m... Цялото описание
? points 136 b
56.27
110.05  лв
Външен склад Изпращаме след 14-21 дни

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Přání Nicholas Sparks / Книга С твърди корици
common.buy 13.86 27.10 лв

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.

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Информация за книгата

Пълно заглавие Time Series Analysis on AWS
Автор Michael Hoarau
Език Английски език
Корици Книга - С меки корици
Дата на издаване 2022
Брой страници 458
Баркод 9781801816847
ISBN 1801816840
Код Либристо 38753380
Издателство Packt Publishing Limited
Тегло 849
Размери 75 x 93 x 25
Подарете тази книга днес
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