Practical Automated Machine Learning on Azure: Using AutoML to Build and Deploy Intelligent Solutions By: Wee Hyong Tok, Parashar Shah, Deepak Mukunthu

Author: Wee Hyong Tok

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, 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 these models may be limited in how much they can explore. Once you complete this book, you’ll understand how to apply Automated Machine Learning to your data right away.

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

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