Compare Object Detection Models From TorchVision
Introduction Object detection is one of the most popular applications of machine learning for computer vision. A detection model predicts…
Debugging Image Classifiers With Confusion Matrices
Introduction We often rely on scalar metrics and static plots to describe and evaluate machine learning models, but these methods…
Fixing Object Detection Models with Better Data
Introduction Object detection tasks can be particularly tedious to debug. If you’ve worked with large object detection datasets in the…
The Deep of Deep Learning
Photo by Almos Bechtold on Unsplash Deep learning is a machine learning sub-branch that can automatically learn and understand complex tasks…
Meta-Learning: Learning to Learn in Machine Learning
In the ever-evolving landscape of artificial intelligence and machine learning, researchers and practitioners continuously seek to elevate the capabilities of…
Credit Card Fraud Detection With Autoencoders
In this article, we’ll leverage the power of autoencoders to address a key issue for banks and their customers: credit…
Data Fabric & Data Mesh: Two Approaches, One Data-Driven Destiny
I decided to write a series of blogs on current topics: the elements of data governance that I have been…