rieder91/machinelearning

Exercises for the Stanford/Coursera Machine Learning Class

Machine Learning

Coursera, taught by Andrew Ng

Done

• Linear Regression
• Logistic Regression
• Multi-class Classification and Neural Networks
• Neural Network Learning
• Regularized Linear Regression and Bias/Variance
• Support Vector Machines
• K-Means Clustering and PCA
• Anomaly Detection and Recommender Systems

TODO

• Nothing

How to contact me

• via email: thomasrieder at aon dot at
• via twitter: My Profile

Class:

Machine Learning

machinelearning's Issues

gaussianKernel returns a vector but should return a value.

Some issues or things I was not able to understand

1. gaussianKernel returns a vector but should return a value.
2. where is the norm function and what it does? (normalization)
3. how this norm(x1 - x2) ^ 2 works? should it be norm(x1 - x2) .^ 2 ?