Posts Tagged ‘MIT’

MIT150 Symposia: Computation and the Transformation of Practically Everything

Computation and the Transformation of Practically Everything

Akamai Chief Scientist Talks Theory

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