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

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.

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 ...

Deep Learning A-Z 2025: Neural Networks, AI, and ChatGPT Prize. Offered by Udemy, this course is taught by Kirill Eremenko and Hadelin de Ponteves and focuses on practical deep learning ...

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 ...

The Center for Deep Learning is pleased to bestow the McCormick Engineering Excellence Award in Deep Learning on Joseph Holtzman. Joseph has been a major contributor to the DELOS project since joining ...

“Geometric deep learning is likely going to be part of the standard AI-powered engineering process in five years for most companies,” says Altair’s VP of engineering data science ...