With the growth of scikit-learn and the wider PyData ecosystem, we
want to recruit in the Inria scikit-learn team for a new role.
Departing from our usual focus on excellence in algorithms,
statistics, or code, we want to add to the team someone with some
technical understanding, but an …
Scientific progress calls for reproducing results. Due to limited
resources, this is difficult even in computational sciences. Yet,
reproducibility is only a means to an end. It is not enough by itself
to enable new scientific results. Rather, new discoveries must build
on reuse and modification of the state …
Two week ago, we held in Paris a large international sprint on
scikit-learn. It was incredibly productive
and fun, as always. We are still busy merging in the work, but I think
that know is a good time to try to summarize the sprint.