AI and machine learning bolster cryptocurrency analysis through advanced feature engineering, extracting insights for informed decision-making in volatile markets.

The skill of feature engineering — crafting data features optimized for machine learning — is as old as data science itself. But it’s a skill I’ve noticed is becoming more and more neglected.

Given the fact that machine learning platform and central ML roles are often among the most coveted AI-related engineering positions at large technology companies, Thomas Huang is breathing ...

Last week, dotData, a company focused on automated feature engineering (AutoFE) and automated machine learning (AutoML), announced the integration of its AutoFE technology with the Databricks ...

Feature engineering is the process of selecting, transforming or creating relevant input variables or attributes called features from raw data to improve the performance of a machine learning model.

Machine learning may be eating software, but it looks as though feature stores may be eating machine learning. In the rush to develop and roll machine learning applications into production, ...

The Department of Industrial Engineering and Management Sciences is a leader in the science of decision-making in complex environments through innovation in algorithms, computation, and mathematical ...

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