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.
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Course Overview
Getting Started with Machine Learning using SAS® Viya
Data Preparation and Algorithm Selection
Decision Trees and Ensembles of Trees
Neural Networks
Bewertungen
- 5 stars75,25 %
- 4 stars18,55 %
- 3 stars6,18 %
Top-Bewertungen von MASCHINELLES LERNEN MITTELS SAS VIYA
The content is great, although the platform failed after 5 days of inactivity. My account was deactivated and I was never able to recover it so I couldn't follow the tutorials.
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.
A well designed and thoughtful course explaining the key concepts of machine learning
This is a good course . SAS is the leader in the world of analytics.
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