Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

With countless applications and a combination of approachability and power, Python is one of the most popular programming languages for beginners and experts alike. We’ve compiled a list of 10 online ...

Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind Adadelta, why it was introduced as an improvement over Adagrad, and guides you ...

Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, explains how it builds on Adam with Nesterov momentum, and shows you how to ...

Yes, I would like to be contacted by a representative to learn more about Bloomberg's solutions and services. By submitting this information, I agree to the privacy policy and to learn more about ...

Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and decision-making systems across industries. Modern RL ...

Send a note to Doug Wintemute, Kara Coleman Fields and our other editors. We read every email. By submitting this form, you agree to allow us to collect, store, and potentially publish your provided ...

When someone talks about geographical information systems (GIS), the first thing that comes to mind is a map. Although this is a primary deliverable, a quick look around the country shows that fire ...

An ArcGIS Python Toolbox for converting between GIS grid coordinates and CAD/real-world surface measurements while preserving true curve geometry. This tool applies scale factors to GIS feature ...

Hitachi Energy will supply 1100 kV gas-insulated switchgear (GIS) for the 1000 kV Nanchang ultra-high-voltage (UHV) substation in Jiangxi Province, supporting the site’s expansion as part of China’s ...