Practical Automated Machine Learning on Azure: Using AutoML to Build and Deploy Intelligent Solutions


Practical Automated Machine Learning on Azure: Using Azure Machine Learning to Quickly Build AI Solutions
By 作者: Deepak Mukunthu - Parashar Shah - Wee Hyong Tok
ISBN-10 书号: 149205559X
ISBN-13 书号: 9781492055594
Edition 版本: 1
Release Finelybook 出版日期: 2019-10-15
pages 页数: (225 )

The Book Description robot was collected from Amazon and arranged by Finelybook

Develop smart applications without spending days and weeks building machine-learning models. With this practical book, you’ll learn how to apply automated machine learning (AutoML), a process that uses machine learning to help people build machine learning models. Deepak Mukunthu, Parashar Shah, and Wee Hyong Tok provide a mix of technical depth, hands-on examples, and case studies that show how customers are solving real-world problems with this technology.
Building machine-learning models is an iterative and time-consuming process. Even those who know how to create ML models may be limited in how much they can explore. Once you complete this book, you’ll understand how to apply AutoML to your data right away.

Learn how companies in different industries are benefiting from AutoML
Get started with AutoML using Azure
Explore aspects such as algorithm selection, auto featurization, and hyperparameter tuning
Understand how data analysts, BI professions, developers can use AutoML in their familiar tools and experiences
Learn how to get started using AutoML for use cases including classification, regression, and forecasting.

Preface
1.Automated Machine Learning:Introduction
2.Deploying AutoML Models
3.Time Series Forecasting

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