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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

4.7
97 个评分

课程概述

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....

热门审阅

TA

Jul 5, 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.

RM

Apr 7, 2020

I found this course SAS Viya really excellent and useful for Data Scientist. I would recommend it to anyone interested in learning and deploy machine learning.

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1 - 使用 SAS Viya 进行机器学习 的 18 个评论(共 18 个)

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