MATLAB Webinar

"Computational Statistics: Getting Started with Classification using MATLAB"

16 Sep 2010
9:00 AM EDT
2:00 PM EDT


In this webinar we introduce the classification capabilities included in Statistics Toolbox.

Classification is used to assign items to a discrete group or class based on a specific set of features. Classification algorithms are a core component of statistical learning / machine learning.


Representative examples in this webinar include:

           Identifying vehicle type based on an acoustic signal or an image
           Sorting manufactured goods using images (optical quality control)
           Assigning a credit rating using information included in a financial statement
           Predicting a tumor type based on a DNA profile
           Filtering SPAM using the frequency of different words in an email

Applied examples from real world data sets describe how to:

           Choose between classification algorithms (bagged decision trees, naïve Bayes classifiers, discriminant analysis, and logistic regression)
          Train your classifier
          Evaluate the accuracy of a classifier (confusion matrices, ROC curves, classification error)
          Simplify your classification model

Please allow 60 minutes to attend this webinar. A Q&A session will follow the presentation and demos.

9:00 AM EDT

Register for Webinar


Source: Recieved an Email from Mathworks