コースについて
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.
人気のレビュー
フィルター：
Sas Viyaを使った機械学習： 1 - 5 / 5 レビュー
by Pablo M P
•Jun 23, 2019
by Elven J
•May 24, 2019
by Tricia A
•Jul 06, 2019
by saurabh p
•Aug 10, 2019
by Rafael B
•Aug 11, 2019