Why Does Feature Engineering Need Automation? Feature engineering is the most iterative, time-consuming, and resource-intensive process, involving interdisciplinary expertise. It requires technical ...

What is context engineering, and why it’s crucial for AI's future Context engineering is the practice of shaping an AI model’s input environment to guide its performance, accuracy and relevance.

Streamline data preprocessing and feature engineering in your machine learning project with this third edition of the Python Feature Engineering Cookbook to make your data preparation more efficient.

Real-time streaming vendor DataStax acquires AI vendor Kaskada to provide data foundation and feature engineering for AI inference engines.

FeatureByte Inc., a startup focused on simplifying the artificial intelligence development task of feature engineering, today launched an automated feature recommendation product that it says can ...

Alteryx has just announced the acquisition of Feature Labs, a tiny three year-old Cambridge, Mass.-based startup that will add capabilities for automating feature engineering to machine learning ...