September 2019
Intermediate to advanced
196 pages
4h 11m
English
Overview
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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