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kasterma

Bart Kastermans

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Notes Lecture 1: Introduction
My notes for the first lecture of the coursera neural networks course
Neural Networks Lecture 6 (partial notes)
Test of uploading; work in progress
initialCentroids
Example of k-means and what can go wrong
Goodness of approx t-test
distr-beta
bloomfilter.R
bf.graphs.R
Overview of Statistical Learning
Hoeffding's inequality
Statistical Power
Student's t-test
Basic ANOVA Examples
RPubs test (barely started with this R doc.