Ćwiczenia bazujące na materiałach Andrew Ng.
Przed zajęciami przejrzyj wykłady XV-XVI: Anomaly detection and recommender systems

Instructions in English.

Ćwiczenia do pobrania (files to download): anomaly-detection.zip

Pliki oznaczone znakiem wykrzyknika () należy wypełnić własnym kodem

• ex8.m - Octave/Matlab script for first part of exercise
• ex8_cofi.m - Octave/Matlab script for second part of exercise
• ex8data1.mat - First example Dataset for anomaly detection
• ex8data2.mat - Second example Dataset for anomaly detection
• ex8_movies.mat - Movie Review Dataset
• ex8_movieParams.mat - Parameters provided for debugging
• multivariateGaussian.m - Computes the probability density function for a Gaussian distribution
• visualizeFit.m - 2D plot of a Gaussian distribution and a dataset
• checkCostFunction.m - Gradient checking for collaborative filtering
• computeNumericalGradient.m - Numerically compute gradients
• fmincg.m - Function minimization routine (similar to fminunc)
• loadMovieList.m - Loads the list of movies into a cell-array
• movie_ids.txt - List of movies
• normalizeRatings.m - Mean normalization for collaborative filtering
• estimateGaussian.m - Estimate the parameters of a Gaussian distribution with a diagonal covariance matrix
• selectThreshold.m - Find a threshold for anomaly detection
• cofiCostFunc.m - Implement the cost function for collaborative filtering