Decision Making through Data Analysis 

Artificial Neural Networks (ANNs)

Follow the links below to download the material for Artificial Neural Networks. The ANNs toolbox of Matlab is used throughout this tutorial.

Lessons

  • Lesson (Duration: 120 min)
    1.    Introduction
    2.    ANNs and Matlab
    3.    Part #1 (Fitting a Function / Regression)
    4.    Part #2 (Pattern Recognition / Classification)
    5.    Part #3 (Clustering)
    6.    References

Files 

Classification & Association Rules

Follow the links below to download the material for this tutorial. The Community Edition of RapidMiner is used in this tutorial.

Lessons

  • Lesson (Duration: 120 min)
    1.    Introduction
    2.    RapidMiner
    3.    Part #1 - Classification Trees & Bayesian Classifiers (data generators, split validation, cross validation, nested operators, model training, result explanation)
    4.    Part #2 - Association Rules (preprocessing, data transformations, frequent itemsets, FP-Growth, model training, result presentation)
    5.    References

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