Modules / Lectures
Module NameDownload
Week_01_Assignment_01Week_01_Assignment_01
Week_02_Assignment_02Week_02_Assignment_02
Week_03_Assignment_03Week_03_Assignment_03
Week_04_Assignment_04Week_04_Assignment_04
Week_05_Assignment_05Week_05_Assignment_05
Week_06_Assignment_06Week_06_Assignment_06
Week_07_Assignment_07Week_07_Assignment_07
Week_08_Assignment_08Week_08_Assignment_08
Week_09_Assignment_09Week_09_Assignment_09
Week_10_Assignment_10Week_10_Assignment_10
Week_11_Assignment_11Week_11_Assignment_11
Week_12_Assignment_12Week_12_Assignment_12
Module NameDownloadDescriptionDownload Size
IntroductionSelf EvaluationPlease see the questions attached with the last module.25 kb
Hidden Markov ModelSelf EvaluationThis is a questionnaire covering all the modules and could be attempted after reading the full course.80 kb


Sl.No Chapter Name MP4 Download Transcript Download
1IntroductionDownloadDownload
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2Feature Extraction - IDownloadDownload
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3Feature Extraction - IIDownloadDownload
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4Feature Extraction - IIIDownloadDownload
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5Bayes Decision TheoryDownloadDownload
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6Bayes Decision Theory (Contd.)DownloadDownload
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7Normal Density and Discriminant FunctionDownloadDownload
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8Normal Density and Discriminant Function (Contd.)DownloadDownload
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9Bayes Decision Theory - Binary FeaturesDownloadDownload
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10Maximum Likelihood EstimationDownloadDownload
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11Probability Density EstimationDownloadDownload
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12Probability Density Estimation (Contd.)DownloadDownload
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13Probability Density Estimation (Contd. )DownloadDownload
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14Probability Density Estimation ( Contd.)DownloadDownload
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15Probability Density Estimation ( Contd. )DownloadDownload
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16Dimensionality ProblemDownloadDownload
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17Multiple Discriminant AnalysisDownloadDownload
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18Multiple Discriminant Analysis (Tutorial)DownloadDownload
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19Multiple Discriminant Analysis (Tutorial )DownloadDownload
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20Perceptron CriterionDownloadDownload
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21Perceptron Criterion (Contd.)DownloadDownload
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22MSE CriterionDownloadDownload
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23Linear Discriminator (Tutorial)DownloadDownload
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24Neural Networks for Pattern RecognitionDownloadDownload
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25Neural Networks for Pattern Recognition (Contd.)DownloadDownload
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26Neural Networks for Pattern Recognition (Contd. )DownloadDownload
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27RBF Neural NetworkDownloadDownload
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28RBF Neural Network (Contd.)DownloadDownload
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29Support Vector MachineDownloadDownload
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30Hyperbox ClassifierDownloadDownload
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31Hyperbox Classifier (Contd.)DownloadDownload
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32Fuzzy Min Max Neural Network for Pattern RecognitionDownloadDownload
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33Reflex Fuzzy Min Max Neural NetworkDownloadDownload
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34Unsupervised Learning - ClusteringDownloadDownload
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35Clustering (Contd.)DownloadDownload
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36Clustering using minimal spanning treeDownloadDownload
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37Temporal Pattern recognitionDownloadDownload
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38Hidden Markov ModelDownloadDownload
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39Hidden Markov Model (Contd.)DownloadDownload
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40Hidden Markov Model (Contd. )DownloadDownload
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