Opinion

How do different data preprocessing techniques affect performance of machine learning models on prediction tasks?

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...
ascopubs.org

Mathematical modeling applied to the growth and invasion of gliomas: A narrative review of methods and applications.

Using tumor growth modeling and informed neural networks as early predictive clinical endpoints. 2007 Continuous dispersion for invasive motility. 2009 Invasive growth with cell density and oxygen.
Analytics Insight

Industry Expert Bhargav Chebrolu Builds Predictive Models That Decision Makers Can Actually Use

A logistics analyst and research innovator, turning operational data into forecasts that teams can trustAnalytics breaks down ...
mccormick.northwestern.edu

MLDS 420: Machine Learning II

This course covers nonparametric modeling of complex, nonlinear predictive relationships in data with categorical (classification) and numerical (regression) response variables. Supervised learning ...
InfoWorld

Deep learning: A brief guide for practical problem solvers

Deep learning is a rapidly growing discipline that models high-level patterns in data as complex multilayered networks. Because it is the most general way to model a problem, deep learning has the ...
Devdiscourse

AI still falls short in clinical decision-making: Here's why

Quantitative results show that only a small fraction of possible pathways linking AI outputs to decision mechanisms are actively implemented. In many cases, the majority of these pathways remain ...
Business Wire

Pecan AI Introduces Predictive GenAI to Transform Enterprise AI Efforts

NEW YORK & TEL AVIV, Israel--(BUSINESS WIRE)--Pecan AI, the leader in AI-based predictive analytics for data analysts and business teams, today announced Predictive GenAI, a unique combination of ...