Interactive Machine Learning in SAS(R) Viya(R)

Course code: VDMO01

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.

720 EUR

871 EUR including VAT

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Course dates

Starting date: Upon request

Type: E-learning

Course duration: 14 hours

Language: en

Price without VAT: 720 EUR

Starting date: Upon request

Type: Upon request

Course duration: 14 hours

Language: en

Price without VAT: 1 200 EUR

	Starting date	Type	Course duration	Language	Price without VAT
	Upon request	E-learning	14 hours	en	720 EUR	Register

	Upon request	Upon request	14 hours	en	1 200 EUR	Register
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Target group

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 in SAS Viya

Course structure

Introduction to SAS Visual Data Mining and Machine Learning

Overview.
Data exploration.
SAS Viya details.

Machine Learning Algorithms

Introduction.
Neural networks.
Support vector machines.
Forests.
Gradient boosting.
Bayesian networks.

Ensemble Machine Learning Algorithms

Ensemble models.
Forests.
Gradient boosting.

Model Assessment and Implementation

Model assessment.
Scoring.
Integration with Model Studio.

Factorization Machines

Types of recommendation systems.
Explaining factorization machines.

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.

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