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学生对 SAS 提供的 使用 SAS Viya 进行机器学习 的评价和反馈

28 个评分
5 个审阅


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....



1 - 使用 SAS Viya 进行机器学习 的 5 个评论(共 5 个)

创建者 Pablo M P

Jun 23, 2019

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

创建者 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.

创建者 Tricia A

Jul 06, 2019

Easy to follow even with limited statistics knowledge.

Instructors teach the basics to get you started and best of all the software is included so you can practice.

创建者 saurabh p

Aug 10, 2019

best platform

创建者 Rafael B

Aug 11, 2019

Curso básico que apresenta as funcionalidades do SAS Viya para as aplicações de Machine Learning baseado somente em modelos supervisionados.