What is it?
Vectorized Solutions to exercise for Standford Machine Learning class https://class.coursera.org/ml-003/class
What is here?
Vectroized solutions to find the minimized fitting parameters are included in this examples
Why this repo?
Future reference for myself and students who are interested in machine learning.
What can be learned?
- Linear regression - Cost function, Gradient
- Logistic regression - Cost function , Gradient, Normal Equation
- Advanced optimization techniques
- vectorization and matrix manipulation using octave
- Neural Networks - Forward propagation , backward propagation
- Learning Curves and Regression analysis for Bias and Variance.
Explanation and thoughts follow me on http://mehmoodbluffs.blogspot.com