In a bid to improve student behaviour in Quebec schools, new rules are now in effect requiring students to use formal ...

Abstract: Representation learning is a key area in machine learning and deep learning, focusing on extracting meaningful features to support downstream tasks such as classification and clustering.

What is supervised learning and how does it work? In this video/post, we break down supervised learning with a simple, real-world example to help you understand this key concept in machine learning.

Abstract: Association rule mining (ARM) is a fundamental technique for uncovering meaningful patterns and relationships within retail datasets, providing valuable insights for decision-making ...

PyAerial is a Python implementation of the Aerial scalable neurosymbolic association rule miner for tabular data. It utilizes an under-complete denoising Autoencoder to learn a compact representation ...