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archives

machine learning

This tag is associated with 3 posts

Machine Learning in R

Am in the midst of finishing the Stanford Machine Learning by Prof Andrew Ng. Need to read this soon though

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Statistical Modeling versus Machine Learning

Recently I got to read up on machine learning, more of introductory and elementary stuff.  The more I read, the more similarity (and of course differences as well) I found as compared to statistics.  This post I found (Statistics vs. Machine Learning, fight!) shed more light on the two topics.

Pattern Recognition, Neural Networks, Machine Learning, Graphical Models, Data Visualization, Big Data, Distributed Data Analysis, Parallel Computing… all seem to be related “technology”.  The core interest, however, is data analysis:

The field should be defined in terms of a set of problems — rather than a set of tools — that pertain to data.

So now, how do I get there?

Machine Learning

  1. The Elements of Statistical Learning
  2. Guide to getting started in Machine Learning by abeautifulwww
  3. MIT OpenCourseWare on Machine Learning
  4. Stackoverflow: R and datamining
  5. Caltech: Learn from data
mathbabe

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.