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Machine Learning Using SAS Viya に戻る

SAS による Machine Learning Using SAS Viya の受講者のレビューおよびフィードバック

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This course covers the theoretical foundation for different techniques associated with supervised machine learning models. A series of demonstrations and exercises is used to reinforce all the concepts and the analytical approach to solving business problems. 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. This course is the core of the SAS Viya Data Mining and Machine Learning curriculum. It 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....
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Machine Learning Using SAS Viya: 1 - 1 / 1 レビュー

by 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.