In past roles, I’ve spent countless hours trying to understand why state-of-the-art models produced subpar outputs. The underlying issue here is that machine learning models don’t “think” like humans ...

In a significant breakthrough, researchers have developed an advanced explainable deep learning model to predict and analyze harmful algal blooms (HABs) in freshwater lakes and reservoirs across China ...

Using a real-world, nationwide electronic health record–derived deidentified database of 38,048 patients with advanced NSCLC, we trained binary prediction algorithms to predict likelihood of 12-month ...

A practical review of explainable AI examines how transparency and interpretability improve trust in high-stakes ...

This course explores the field of Explainable AI (XAI), focusing on techniques to make complex machine learning models more transparent and interpretable. Students will learn about the need for XAI, ...

SAS today launched SAS 360 Marketing AI to help marketers build, deploy, and scale machine learning models with purpose-built guided workflows and customizable recipe templates for common marketing ...

SAS, the leader in data and AI, today announced SAS 360 Marketing AI, a new solution to help marketers build, deploy and scale machine learning models without relying on overstretched data science ...