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.

He added, “Feature Labs is unique because we automate feature engineering, which is the process of using domain knowledge to extract new variables from raw data that make machine 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 feature store is a critical piece of data engineering middleware that links the past (i.e. training machine learning models on historical data) with the current (i.e. running inference on real ...

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 ...

Master of Science in Machine Learning Engineering The master’s in machine learning engineering from Drexel Engineering provides the skills needed to take on the transformation of science and ...

Artificial intelligence (AI) and machine learning are bringing changes to the field of engineering and the responsibilities of engineers just like they have in other industries. Many of these ...