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

This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...

A new framework integrates graph databases with real-time machine learning to enhance fraud detection and risk control in digital finance. By ...

Claim your complimentary copy (worth $35.99) before the offer expires, on Nov 20. A complete guide to crafting powerful features for your machine learning models. Streamline data preprocessing and ...

With a $5.1 million grant from the National Science Foundation (NSF), Case Western Reserve University and partners at the University of Cincinnati (UC) and Ohio Supercomputer Center (OSC) will work to ...

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

"We are excited to release this new version of our software. Stata 19 will empower researchers to effectively use their data and make impactful contributions with their work,” said Alan Riley, ...

More aggressive feature scaling and increasingly complex transistor structures are driving a steady increase in process complexity, increasing the risk that a specified pattern may not be ...

Robotics has come a long way in the last decade, going from rare novelties to everyday helpers doing everything from vacuuming homes to performing intricate surgeries. And if you ask Assistant ...