Teaching

MLOps for Reproducibility and Traceability of Machine Learning Experiments

Workshop, HappyR-StateOftheR, 2026

Ensuring the reproducibility and traceability of experiments is a key challenge in conducting machine learning research projects. Tools derived from software engineering and industrial machine learning provide an effective solution to these needs thanks to their low integration costs and high utility.

[In Spanish] Imputación de datos hidrológicos usando algoritmos de Machine Learning

Workshop, Universidad Nacional de Colombia, Departamento de Ingeniería Civil y Agricola, 2025

This workshop aims to introduce third-year agricultural engineering students to the effective implementation of machine learning techniques for imputing missing values in hydrological data.

Julian Agudelo

Teaching

MLOps for Reproducibility and Traceability of Machine Learning Experiments

[In Spanish] Imputación de datos hidrológicos usando algoritmos de Machine Learning