Tech Xplore

Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
Ulster University

Accelerating your Research using the Northern Ireland HPC cluster: Hands-on guide with GPU and CPU-based applications - Part 2

This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.
IEEE

Quantum Machine Learning: Recent Advances, Challenges, and Perspectives

Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...
IEEE

Imbalanced Data Problem in Machine Learning: A Review

Abstract: One of the prominent challenges encountered in real-world data is an imbalance, characterized by unequal distribution of observations across different target classes, which complicates ...
GitHub

Modern scientific computing for OCaml.

Raven is a comprehensive ecosystem that brings scientific computing capabilities to OCaml, designed for teams who need both rapid prototyping and production-ready systems. We're prioritizing developer ...
GitHub

Production-Ready Data Science Code Examples

Click the "Fork" button at the top of this page This creates your own copy at: github.com/YOUR_USERNAME/production-ready-data-science-code Clone your fork: ...