How-To Geek on MSN

I thought you needed advanced math to build machine learning models, but I was wrong

Machine learning sounds math-heavy, but modern tools make it far more accessible. Here’s how I built models without deep math ...
Investopedia

Parametric Method in Value at Risk (VaR): Definition and Examples

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Gordon Scott has been an active investor and ...
IEEE

A Modulation Classification Algorithm Based on Feature-Embedding Graph Convolutional Network

Abstract: Deep-learning is widely used in modulation classification to reduce labor and improve the efficiency. Graph convolutional network (GCN) is a type of feature extraction network for graph data ...