Miguel Ángel CárdenasDistributed model training for large scale data using DaskA walkthrough in training machine learning models, that rely on terabytes of data, in a distributed fashion using DASK and LightGBM.6 min read·May 30, 2022----
Miguel Ángel CárdenasinSemantixProductizing an ML Model with FastAPI and Cloud Run (Part 1)From building an API to serve the model to containerizing and deploying it as a service.5 min read·Jun 23, 2021----
Miguel Ángel CárdenasProbabilistic neural networks in a nutshellFeed-forward artificial neural networks that are closely related to kernel density estimation (KDE)4 min read·Jun 7, 2021----
Miguel Ángel CárdenasinSemantixProcessing Computer Tomography (CT) for Deep Learning Applications.An overview of computed tomography (CT) processing applied to machine learning powered diagnostic imaging tools.5 min read·May 27, 2021----