JuliaCon Local Paris 2025

Antonello Lobianco

Antonello Lobianco, PhD, is a research engineer employed by a French grande école (polytechnic university). He works on the biophysical and economic modeling of the forest sector and is responsible for the lab models portfolio. He programs in C++, Perl, PHP, Visual Basic, Python, and Julia. He teaches environmental and forest economics at the undergraduate and graduate levels and modeling at the PhD level. For a several years, Antonello has been following the development of Julia, as it fits his modeling needs. He is the author of a few Julia packages, particularly on data analysis and machine learning


Intervention

02/10
12:20
10minutes
New Features of the Beta Machine Learning Toolkit (BetaML): Missing Value Imputation, Autoencoders, and Variable Importance Metrics
Antonello Lobianco

BetaML.jl is a lightweight, pure-Julia machine learning library with a scikit-learn-like, consistent API, designed for usability over complexity. It supports decision trees, neural networks, clustering algorithms, and essential ML workflows, with heuristics that simplify usage and a one-parameter autotuning system. This talk highlights its new features: missing value imputation, non-linear dimensionality reduction via autoencoders, and variable importance metrics.

Machine learning
Amphithéâtre Robert Faure