Вернуться к Machine Learning Using SAS Viya
Отзывы учащихся о курсе Machine Learning Using SAS Viya от партнера SAS
О курсе
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.
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1–2 из 2 отзывов о курсе Machine Learning Using SAS Viya
автор: Pablo M P
•Jun 23, 2019
Nothing practical to learn, not even temporary access to SAS...
автор: 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.
Coursera делает лучшее в мире образование доступным каждому, предлагая онлайн-курсы от ведущих университетов и организаций.
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