News

Devdiscourse1d
Machine learning powers next-gen flood risk mapping with unprecedented accuracy
Beyond achieving technical excellence, the study underscores the practical utility of explainable AI in flood risk management ...
Microsoft6y
Esri explores the intersection of machine learning and geography
They had a machine learning team and they had a GIS team. They literally were next door to each other, (but) they had no clue that they could actually work together. ... MCCUNE: This intersection of ...
InfoWorld2y
Using Hugging Face machine learning models in Azure
Yes, there’s the option of building your own specific models using Azure’s Machine Learning studio, working with tools like PyTorch and TensorFlow to design and train models from scratch.
Forbes1y
20 Mistakes To Avoid When Developing Machine Learning Models - Forbes
Machine learning models can be incredibly valuable tools for business leaders. They can aid in interpreting historic data, making decisions for future initiatives, helping to improve the customer ...
Bloomberg L.P.1y
Accurately assessing liquidity with explainable machine learning models | Insights | Bloomberg Professional Services
Machine learning models are able to estimate accurate liquidity even when such data is limited. The more conventional classification approach defines broad categories like ‘US investment grade ...
InfoWorld3y
Use DirectML to train PyTorch machine learning models on a PC
Build ML models on your PC. A modern developer workstation has more than enough power for basic ML workloads. The machine I’m typing this on fits the bill: It has an 11th-generation Intel ...