Feature engineering entails curating, refining and optimizing data attributes to empower machine learning models for improved performance and predictive accuracy. Step 1: Data collection ...

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.

Feature engineering involves the application of business knowledge, mathematics, and statistics to transform data into a format that can be directly consumed by machine learning models. It starts from ...

This requires basic machine learning literacy — what kinds of problems can machine learning solve, and how to talk about those problems with data scientists. Linear regression and feature ...

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 ...

Microsoft Corp.-owned professional networking site LinkedIn is donating another project to the open-source community.It said today that it’s handing over control of the Feathr feature store for ...

The Department of Industrial Engineering and Management Sciences is a leader in the science of decision-making in complex environments through innovation in algorithms, computation, and mathematical ...

Alteryx, a publicly traded analytics company, announced this morning that it has acquired Feature Labs, a machine learning startup that launched out of MIT in 2018.The company did not reveal the ...