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 ...

How I realized the importance of logarithmic transformation, having previously thought 'standardize if the values are large'

While studying for an AWS machine learning certification, I had an experience that made me rethink data preprocessing.Until ...
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 ...
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 ...