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.
Maschinelles Lernen mittels Sas ViyaSAS
Über diesen Kurs
Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change.
- 5 stars74,73 %
- 4 stars18,94 %
- 3 stars6,31 %
Top-Bewertungen von MASCHINELLES LERNEN MITTELS SAS VIYA
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.
nice course for those who already knew machine learning concepts and wants to learn SAS viya for creating models.
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.
This is a good course . SAS is the leader in the world of analytics.
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