Название: How Automated Machine Learning Empowers Businesses Автор: Wee Hyong Tok Издательство: O’Reilly Media Год: 2020 Язык: английский Формат: pdf, epub Размер: 10.1 MB
Machine learning is the key to digital transformation for many businesses today. This process accelerates your company’s ability to engage customers, optimize operations, empower employees, and fundamentally change and transform products. One of the best ways to get started is with Automated Machine Learning, a quick and efficient method to jumpstart your organization’s use of Machine Learning.
In this report, AI leader Wee Hyong Tok explains how Automated Machine Learning has successfully internalized the habits of experienced data scientists to help you develop machine learning solutions for your business much faster than if you started from scratch. You’ll learn how to automate the process of selecting the best machine learning models, understand how to tune them, and more.
What Is Automated Machine Learning? As described by AutoML.org, automated machine learning “provides methods and processes to make machine learning available for non–machine learning experts, to improve efficiency of machine learning, and to accelerate research on machine learning.” In short, automated machine learning empowers non–machine learning experts to get started with machine learning quickly by automating many of the tasks that data scientists perform each day.
Through several examples, this report will help you:
Understand how Automated Machine Learning works—and how and why this process was developed Explore the business importance of Automated Machine Learning Learn how Automated Machine Learning performs autofeaturization, model selection, and hyperparameter sweeps
Contents:
• Introduction • What Is Automated Machine Learning? • Three Reasons Why Automated Machine Learning Matters to Businesses • Leveraging Automated Machine Learning to Jump-Start Machine Learning Projects • Waving the Magic Wand for Machine Learning • Commercial Tools and AI Platforms for Automated Machine Learning • Shadow a Data Scientist: Be a Fly on the Wall • How Automated Machine Learning Works • Which Features Should I Use? • Which Algorithms Should I Use? • Which Parameters Should I Tune? • Can We Train Machine Learning Models to do Automated Machine Learning? • Using Automated ML in Azure Machine Learning • Conclusion
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