Nature

Feature Selection Techniques in Machine Learning Systems articles from across Nature Portfolio

Feature selection (FS) is a critical step in hyperspectral image (HSI) classification, essential for reducing data dimensionality while preserving classification accuracy. However, FS for HSIs remains ...
BIOENGINEER

Puma-Inspired Algorithm Sharpens Feature Selection for Machine Learning

Researchers at Yazd University developed a binary version of the Puma Optimization Algorithm that achieved 91.53 percent ...
Analytics Insight

What Should an AI/ML Beginner Learn First: Python, Machine Learning or Generative AI?

Overview: Learn programming fundamentals, data handling, libraries, and API integration before tackling advanced AI ...

[#16] How to show it to machine learning: Feature engineering for stock price prediction

In this note, with the theme of can we beat a '99-point' index investment? I, a company employee who has dabbled a bit in ...
techtarget

Machine learning still big at Stripe despite deep learning hype

With all the deep learning hype today, you might think it is the primary focus of development at most large web enterprises. But that's not true in all cases. "Machine learning has been around for a ...
BIOENGINEER

Machine learning estimates factory-worker stress from brain signals

An exploratory study of 20 participants linked EEG and fNIRS signals to self-reported anxiety-related stress, with the best model estimating continuous STAI scores at an RMSE of 10.86 and classifying ...