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 ...
Asianet Newsable on MSN

Best AI and data science courses for workflow automation

To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.
Deixis Online

Machine-learning atoms

An interatomic potential is a set of mathematical rules that describes the complex dance of forces between atoms — how atomic ...
Daily Excelsior

Machine Learning Methods Used for Portfolio Optimization and Risk Management

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...
Deep Learning with Yacine on MSN

Create a perceptron from scratch in Python – step by step tutorial

Learn how to build a perceptron from scratch in Python! This tutorial covers the theory, coding, and practical examples, helping you understand the foundations of neural networks and machine learning.
Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
IEEE

Artificial Intelligence (AI), Machine Learning (ML) & Deep Learning (DL): A Comprehensive Overview on Techniques, Applications and Research Directions

Abstract: The subfield of artificial intelligence (AI) within computer science aims to create intelligent machines capable of performing tasks typically requiring human intelligence. This foundational ...
IEEE

MEDL-DDI: Example-Driven Learning With Multi-Source Features for Predicting Drug-Drug Interaction

Abstract: Accurate drug–drug interaction (DDI) prediction is crucial for optimizing the efficacy of combination therapies and minimizing adverse effects. Most existing methods rely on single features ...