机器学习
人工智能
计算机科学
领域(数学)
领域(数学分析)
在线机器学习
计算学习理论
基于实例的学习
超启发式
会话(web分析)
主动学习(机器学习)
机器人学习
机器人
纯数学
数学分析
数学
移动机器人
万维网
作者
Aniththa Umamahesan,Deepak Mukunthu Iyappan Babu
标识
DOI:10.1145/3394486.3406697
摘要
Automated ML is an emerging field in Machine Learning that helps developers and new data scientists with little data science knowledge build Machine Learning models and solutions without understanding the complexity of Learning Algorithm selection, and Hyper parameter tuning. With Azure Machine Learning's automated machine learning capability, given a dataset and a few configuration parameters, you will get a trained high quality machine learning model for the dataset that you can use for predictions. In this session, you will learn how to use Automated ML for productivity gains, empowering domain experts to build ML based solutions and scale to build several models with Azure Machine Learning's Automated ML.
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