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

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 ...

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.

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 ...

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 ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

The December 2019 issue of Nature Methods features a focus on Deep Learning in Microscopy. In this web collection, related content featured in the Nature journals is highlighted to celebrate these ...

“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 ...

Deep learning is gaining traction across a broad swath of applications, providing more nuanced and complex behavior than machine learning offers today. Those attributes are particularly important for ...