Feature engineering involves systematically transforming raw data into meaningful and informative features (predictors). It is an indispensable process in machine learning and data science. This ...

We introduce unFEAR, Unsupervised Feature Extraction Clustering, to identify economic crisis regimes. Given labeled crisis and non-crisis episodes and the corresponding features values, unFEAR uses ...

On August 25, 2025, Financial界 reported that according to information from the National Intellectual Property Administration, Zhonghai Huasheng Digital Technology Co., Ltd. has applied for a patent ...

The time-tested technique for predicting numbers, and the role of domain knowledge in machine learning.