machine learning posts – Page 3

Conference posters

At the request of a friend, I am putting up some of the posters that I recently presented at conferences.

Large-scale functional-connectivity graphical models for individual subjects using population prior.

This is a poster for our NIPS work


Multi-subject dictionary learning to segment an atlas of brain spontaneous activity …

Hiring a junior developer on the scikit-learn

Once again, we are looking for a junior developer to work on the scikit-learn. Below is the official job posting. As a personal remark, I would like to stress that this is a unique opportunity to be payed for two years to work on learning and improving the scientific Python …

My conference travels: Scipy 2011 and HBM 2011

The Scipy 2011 conference in Austin

Last week, I was at the Scipy conference in Austin. It was really great to see old friends, and Austin is such a nice place.

The Scipy conference was held in UT Austin’s conference center, which is a fantastic venue. This is the …

Hiring a junior engineer on the scikit-learn

The scikit-learn is a Python module for machine learning. The project builds on the scientific and numerical tools of the scipy community to provide state-of-the-art data analysis tools. It is developed by a community of open source developers to which my research team (Parietal, INRIA) contributes a lot and is …

Scikit-learn sprint on April 1st

The scikit-learn team is organizing a sprint on April 1st (that next Friday). Join us in Paris, Boston, or on IRC!

With the rise of the data sciences, the scikit-learn, a BSD-licensed Python package for machine learning, is becoming an asset for more and more endeavors. Machine learning has traditionally …

PCA and ICA: Identifying combinations of variables

Dimension reduction and interpretability

Suppose you have statistical data that too many dimensions, in other words too many variables of the same random process, that has been observed many times. You want to find out, from all these variables (or all these dimensions when speaking in terms of multivariate data …