Science Daily

Building explainability into the components of machine-learning models

Researchers have created a taxonomy and outlined steps that developers can take to design features in machine-learning models that are easier for decision-makers to understand. Explanation methods ...
Analytics Insight

Best Tools to Visualize and Understand Machine Learning Models: Top Picks

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...
SiliconANGLE

JFrog adds machine learning management capabilities to streamline model security

Software supply chain company JFrog Ltd. today introduced machine learning model management capabilities designed to streamline the management and security of machine learning models. Currently in ...
National Academies of Sciences%2c Engineering%2c and Medicine

Using Machine Learning in Safety-Critical Applications: Setting a Research Agenda

Machine learning components are enabling advances in self-driving cars, the power grid, and robotic medicine, but what are the implications for safety? Decades of research and practice in safety ...
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 ...
Nature

Constraint Programming and Machine Learning Applications

Constraint programming combined with machine learning provides a robust framework for addressing complex combinatorial problems across diverse domains such as energy management, production scheduling ...
TechCrunch

Splunk expands machine learning capabilities across platform

Splunk has always been data central for IT operations info, but as the logs fill up with ever-increasing amounts of data, it has become impossible for humans to keep up. Recognizing this, Splunk ...