Julia Programming for Machine Learning course at TU Berlin - adrhill/julia-ml-course

Identifying when children are most at risk of being taken into care within youth protection programmes. Improving the quality of surgery with video analysis. The interaction between wind and vegetation for optimising the resilience of coastal dunes. Developing reliable algorithms for statistical learning with interactive decision science. These are four of the two hundred research projects by researchers who have been awarded a Veni grant. Each researcher will receive a maximum of 320,000 euros. The grant is an incentive for adventurous, talented and groundbreaking researchers to further develop their own research ideas over the next three years.

Makie v0.24 focuses on a comprehensive overhaul of our internal architecture, specifically replacing Observables in our backend code with a more robust system. This fundamental change touches nearly every component of the codebase, making it one of our most ambitious refactoring efforts to date.

Trying to fit it all in? There’s a trick to it, even in 24 dimensions.