Archive for the ‘Statistics and Machine Learning’ Category

Cosma Shalizi – Why Economics Needs Data Mining

September 28, 2012

Cosma Shalizi urges economists to stop doing what they are doing: Fitting large complex models to a small set of highly correlated time series data. Once you add enough variables, parameters, bells and whistles, your model can fit past data very well, and yet fail miserably in the future. Shalizi tells us how to separate the wheat from the chaff, how to compensate for overfitting and prevent models from memorizing noise. He introduces techniques from data mining and machine learning to economics — this is new economic thinking. (from Youtube)

Advertisements

Nguyen Trung Tuan

Lecture Notes in Mathematics, High School Olympiads

MOOCtalk

Let's teach the world

The Proof is in the Pudding

The proof of the pudding is in the eating.

Windows On Theory

A Research Blog