I’d like to welcome the four students that were accepted for the GSoC this year:
Welcome to all of you. Your submissions were excellent, and you demonstrated a good will …
I have tagged and released the scikit-learn 0.14 release yesterday evening, after more than 6 months of heavy development from the team. I would like to give a quick overview of the highlights of this release in terms of features but also in term of performance. Indeed, the scikit-learn …
Yesterday, we released version 0.11 of the scikit-learn toolkit for machine learning in Python, and there was much rejoincing.
In the last 6 months, there have been many things happening with the scikit-learn. While I do not whish to give an exhaustive …
The scikit-learn got 3 students accepted for the Google summer of code.
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 …
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 …
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 …
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 …
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 …
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 …
