Chevron Left
Machine Learning Using SAS Viya(으)로 돌아가기

SAS의 Machine Learning Using SAS Viya 학습자 리뷰 및 피드백

강좌 소개

This course covers the theoretical foundation for different techniques associated with supervised machine learning models. In addition, a business case study is defined to guide participants through all steps of the analytical life cycle, from problem understanding to model deployment, through data preparation, feature selection, model training and validation, and model assessment. A series of demonstrations and exercises is used to reinforce the concepts and the analytical approach to solving business problems. This course uses Model Studio, the pipeline flow interface in SAS Viya that enables you to prepare, develop, compare, and deploy advanced analytics models. You learn to train supervised machine learning models to make better decisions on big data. The SAS applications used in this course make machine learning possible without programming or coding....
필터링 기준:

Machine Learning Using SAS Viya의 2개 리뷰 중 1~2

대학: Pablo M P

Jun 23, 2019

Nothing practical to learn, not even temporary access to SAS...

대학: Elven J

May 24, 2019

Thank you SAS, Coursera, all involved to make this course available here. In special to Jeff and Catherine who covered different techniques associated with supervising machine learning models and analytical approach to solve problems business on Model Studio and pipeline flow interface.