
Sách keo gáy, Bìa mềm
Thể loại:Computers - Artificial Intelligence (AI)
Năm:2019
Ngôn ngữ:english
Trang:225
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.