BIOENGINEER

Machine-learning model shows moderate accuracy for predicting specialist nurse transfer intentions

A model-development study using 471 specialist nurse samples achieved an AUC of 0.766 for distinguishing stated transfer ...
BIOENGINEER

Quantum Machine Learning Fails to Beat Classical Models in Financial Prediction Test

Quantum machine learning has been one of the most tantalizing promises in computational finance: the idea that qubits, ...
ascopubs.org

Python-based preprocessing for applying machine learning in breast cancer metastasis prediction.

To determine correlation of inter reader variability in sum of diameters using RECIST 1.1 with end point assessment in lung cancer. A systematic evaluation of models predicting short-term mortality ...
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 ...

[Part 1] What is the AI foundation "Machine Learning"? Explaining the mechanism and 3 learning methods

Estimated reading time: approx. 3 minutes 30 secondsWhen researching AI, you often see the terms "machine learning" and "deep ...

3 English Books That Helped Me Get Started with MLOps

Introduction When I first deployed a machine learning model to production, the accuracy on my notebook was sufficient, but ...
techtarget

Clean data is the foundation of machine learning

Machine learning projects can succeed or fail based on a single, seemingly simple factor: data quality. Data scientists and engineers have recognized -- often through hard-won lessons -- that this ...