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Discover SAS Visual Data Mining and Machine Learning Procedures

by SAS Employee BethEbersole on ‎03-22-2017 11:07 AM - edited on ‎06-14-2017 01:21 PM by Community Manager (1,568 Views)

Welcome to you, early explorer for SAS Visual Data Mining and Machine Learning! This offering includes data mining and machine learning capabilities that run on the SAS Viya platform in an in-memory distributed computing infrastructure called Cloud Analytic Services—CAS. SAS Visual Data Mining and Machine Learning provides a single environment for data scientists to perform tasks associated with data preparation, feature engineering (variable manipulation and selection), model training, assessment, and deployment.

 

Your interface into this product is SAS Studio, the web-based user interface for SAS.  You can perform your statistics and machine learning work by clicking through prompted SAS Studio Tasks, or by writing SAS code.

 

Before we continue – are you new to machine learning? If so, check out this resource: What is machine learning and why does it matter?

 

This introductory post provides a sort of table-of-contents to the SAS Visual Data Mining and Machine Learning procedures that are available today. Look for more articles coming soon, with more details about each task and how you might want to use them all together.

 

I’ve divided these procedures into four major categories: Data Wrangling, Unsupervised Learning, Supervised Learning, and Model Assessment and Scoring.

 

Data Wrangling

Here are the data wrangling procedures, including the SAS Studio Task where you will find each one (in the “Prepare and Explore” category) and a link to the SAS documentation.

 

Unsupervised Learning

Here are the unsupervised learning procedures, including the SAS Studio Task where you will find each one (in the “Unsupervised Learning” category) and a link to the SAS documentation.

 

Supervised Learning

Here are the supervised learning procedures, including the SAS Studio Task where you will find each one (in the “Supervised Learning” category) and a link to the SAS documentation.  Supervised learning is a big category! I’ve divided this list into subcategories to help you navigate (they are not categorized this way in SAS Studio).

Regressions

Neural Networks

Tree-related

Other

Model Assessment and Scoring

I hope this gives you a good idea of the initial inventory of methods with SAS Visual Data Mining and Machine Learning. In future posts, I’ll go into more detail about how each method is used.

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