SAS(R) Visual Data Mining and Machine Learning on SAS(R) Viya(R): Interactive Machine Learning

Course Details
Code: VDMO82
Tuition (USD): $1,600.00 • Classroom (2 days)
$1,600.00 • Virtual (2 days)

This course provides a theoretical foundation for SAS Visual Data Mining and Machine Learning, as well as hands-on experience using the tool through the SAS Visual Analytics interface. The course uses an interactive approach to teach you visualization, model assessment, and model deployment while introducing you to a variety of machine learning techniques.

Skills Gained

  • train a forest model
  • train a gradient boosting model
  • train a neural network
  • train a support vector machine
  • train factorization machines
  • compare models
  • export model score code and score a model.

Who Can Benefit

  • Predictive modelers, business analysts, and data scientists who want to take advantage of SAS Visual Data Mining and Machine Learning for highly interactive, rapid model fitting on SAS Viya

Prerequisites

  • Before attending this course, you should
  • be acquainted with SAS Visual Statistics
  • have at least an introductory-level familiarity with machine learning techniques and statistical modeling.

Course Details

Introduction to SAS Visual Data Mining and Machine Learning

  • overview
  • SAS Viya: details

Machine Learning Algorithms

  • introduction
  • neural networks
  • support vector machines
  • forests
  • gradient boosting

Model Assessment and Implementation

  • model assessment
  • scoring

Factorization Machines

  • different types of recommendation systems
  • explaining factorization machines