This tag is associated with 1 post

My own special semester

Plan for post-exam period is as follows:
– complete Stanford U’s machine learning course by Prof Andrew Ng
– catch up on Caltech’s Learning From Data e-course
– find interesting projects in Kaggle and participate
– watch webinar by Revolution Analytics
– do special term module in microeconomics if all goes well

So basically to work on R, Hadoop and Machine Learning.  Let’s go for it!

For now mug for exams until 3 May.


Exploring and venting about quantitative issues

The Stone and the Shell

Using large digital libraries to advance literary history

Hi. I'm Hilary Mason.

Zoom out, zoom in, zoom out.

Introduction to Data Science, Columbia University

Blog to document and reflect on Columbia Data Science Class

statMethods blog

A Quick-R Companion

the Tarzan

[R] + applied economics.

4D Pie Charts

Scientific computing, data viz and general geekery, with examples in R and MATLAB.