Browsing: Introduction

The problem with point estimatesWhen a machine learning model estimates the median value of a house in California, it usually…

a Machine Learning method that solves a Classification problem, i.e., when you have to determine the class or category of…

tend to become harder to trust as they grow in scope, and they certainly become harder to run without errors,…

Intro to proof assistants who transitioned into data science, and I work daily with machine learning algorithms. I’m fascinated both…

In my first TDS post, I wrote about how to translate a real-world problem into an integer linear program. In my second,…

series about Reinforcement Learning (RL), following Sutton and Barto’s famous book “Reinforcement Learning” [1]. In the previous posts we finished…

to evidential deep learning (EDL), a framework for one-shot quantification of epistemic and aleatoric uncertainty. More specifically, we will focus…