Archive for the ‘Bayes Theorem’ Category

Machine Learning


Machine Learning and Hadoop by Josh Will

Pycon 2012 ML and Python Talks

Some ML Packages in Python

Bay Area Vision Meeting: Unsupervised Feature Learning and Deep Learning

The Future of Robotics and Artificial Intelligence (Andrew Ng, Stanford University, STAN 2011)

a machine learning definition:
“A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E.” — Mitchell, Tom M. (1997). Machine Learning, McGraw Hill. ISBN 0-07-042807-7, p.2.

ML Videos

Guide to Getting Started in Machine Learning

Stanford – Artificial Intelligence | Machine Learning

Welcome to the UC Irvine Machine Learning Repository!


CRAN Task View: Machine Learning & Statistical Learning

MIT – 18.06 Linear Algebra


Statistics – Bayesian Theorem, R, et al

Thomas Bayes and Bayes’s Theorem

An Introduction to Regression Analysis

Recommended survey papers

Data sources/data feeds available as packages in R

Engineering Data Analysis (with R and ggplot2) – a Google Tech Talk given by Hadley Wickham

Machine learning cookbook / reference card / cheatsheet?

The Man Behind the Bayesian Theorem


website of Hadley Wickham

Engineering Data Analysis (with R and ggplot2)

What are good references containing arguments against ?

Bollinger: Yesterday, Today and Tomorrow: A Trip Through Computational Finance