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Introduction to IBM SPSS Neural Networks - ILT (0G046G)

  • Overview
  • Who Should Attend
  • Certifications
  • Prerequisites
  • Objectives
  • Content
  • Schedule
Course Overview

Course Duration 2 days.
Introduction to IBM SPSS Neural Networks - ILT - This course will cover the usage and applcation of Neural Network models using IBM SPSS Statistics. Neural Network models are used to predict an outcome variable that is either categorical or interval in scale using predictors that are also categorical or interval. Neural networks are popular when modeling complex environments (for example financial applications).

Who Should Attend

  • If you are a IBM Statistics (formerly IBM SPSS or SPSS Statistics) user in any application field who wants to learn more about Neural Network Models and their application, this intermediate course will be of interest to you.

Course Certifications

This course is part of the following Certifications:

Prerequisites

You should have:
  • Completion of Introduction to IBM SPSS Statistics; Data Management and Manupulation with IBM SPSS Statistics and Advanced Statistical Analysis courses

Course Objectives

  • Please refer to course overview.

Course Content

  • Introduction to SPSS Neural Networks
  • Data Preparation
  • Multilayer Perceptron Procedure
  • Radial Basis Function Procedure

Course ID: 0G046G


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