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Anomaly Detection and Recommender Systems

IntroductionImplement the anomaly detection algorithm and apply it to detect failing servers on a network.Files included in this exerciseex8.m - Octave/MATLAB script for rst part of exerciseex8 cofi.m - Octave/MATLAB script for second part of exerciseex8data1.mat - First example Dataset for anomaly detectionex8data2.mat - Second example Dataset for anomaly detectionex8 movies.mat - Movie Review ..
Coursera/Machine Learning 2018. 10. 16. 14:04
K-means Clustering and Principal Component Analysis

IntroductionImplement the K-means clustering algorithm and apply it to compress an image.Files included in this exerciseex7.m - Octave/MATLAB script for the rst exercise on K-meansex7 pca.m - Octave/MATLAB script for the second exercise on PCAex7data1.mat - Example Dataset for PCAex7data2.mat - Example Dataset for K-meansex7faces.mat - Faces Datasetbird small.png - Example ImagedisplayData.m - D..
Coursera/Machine Learning 2018. 10. 16. 14:01
Support Vector Machines

IntroductionUsing support vector machines (SVMs) to build a spam classifi er.Files included in this exerciseex6.m - Octave/MATLAB script for the rst half of the exerciseex6data1.mat - Example Dataset 1ex6data2.mat - Example Dataset 2ex6data3.mat - Example Dataset 3svmTrain.m - SVM training functionsvmPredict.m - SVM prediction functionplotData.m - Plot 2D datavisualizeBoundaryLinear.m - Plot lin..
Coursera/Machine Learning 2018. 10. 16. 13:56
Regularized Linear Regression and Bias v.s. Variance

Introductionimplement regularized linear regression and use it to study models with different bias-variance properties.Files included in this exerciseex5.m - Octave/MATLAB script that steps you through the exerciseex5data1.mat - Datasetsubmit.m - Submission script that sends your solutions to our serversfeatureNormalize.m - Feature normalization functionfmincg.m - Function minimization routine (..
Coursera/Machine Learning 2018. 10. 16. 13:50
Neural Networks Learning

IntroductionImplement the back propagation algorithm for neural networks and apply it to the task of hand-written digit recognition.Files included in this exerciseex4.m - Octave/MATLAB script that steps you through the exerciseex4data1.mat - Training set of hand-written digitsex4weights.mat - Neural network parameters for exercise 4submit.m - Submission script that sends your solutions to our se..
Coursera/Machine Learning 2018. 10. 16. 13:46
Multi-class Classification and Neural Networks

IntroductionImplement one-vs-all logistic regression and neural networks to recognize hand-written digits.Files included in this exerciseex3.m - Octave/MATLAB script that steps you through part 1ex3 nn.m - Octave/MATLAB script that steps you through part 2ex3data1.mat - Training set of hand-written digitsex3weights.mat - Initial weights for the neural network exercisesubmit.m - Submission script..
Coursera/Machine Learning 2018. 10. 16. 13:43
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