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.

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 ...

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.

As we look ahead, the relationship between engineers and AI systems will likely evolve from tool and user to something more symbiotic.

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 ...