Category Archives: MOOC

Statement of accomplishment for Coursera Machine Learning class

Finally acquired the statement of accomplishment for Machine Learning on Coursera by Andrew Ng. Actually it took me more than 2 years to make it since the first opening of the class in the year of 2012. I don’t wanna make any excuse for such procrastination but, as others would do, I used to have some difficulty sparing the time for the class solely. Yeah, shame on me but I finished the course with a record of 100%. ­čÖé

Anyway, I’m personally proud of what I’ve done for the last couple months. And deep appreciation to Andrew Ng for this encouraging class.

Statement of accomplishment: Coursera ml 2014


Undergraduate ML course at UBC 2012

I happened to find these undergraduate ML course video clips opened on youtube by UBC. I think I really have to thank to UBC & the professor┬áNando de Freitas for this valuable sharing. Anyone with strong interest or something in ML should definitely be better to take a look through the whole sessions. That’s what I’m gonna do for months now.

Machine Learning Video Library

A bunch of educational video segments on machine learning – Machine Learning Video Library.

Topics included:

Aggregation, Bayesian Learning, Bias-Variance Tradeoff, Bin Model, Data Snooping, Error Measures, Gradient Descent, Learning Curves, Learning Diagram, Learning Paradigms, Linear Classification, Linear Regression, Logistic Regression, Netflix Competition, Neural Networks, Nonlinear Transformation, Occam’s Razor, Overfitting, Radial Basis Functions, Regularization, Sampling Bias, Support Vector Machines, Validation, VC Dimension