Abdesselam Benameur

Developing & Managing Machine Learning Projects at SNCF Réseau in apprenticeship | Machine Learning Engineer Intern at OpenGenus | AI Enthusiast | Teacher | Photographer

France •

2 posts •

Regression dilution

In this article at OpenGenus, we will explore the concept of regression dilution, its implications in various real-world applications. We will discuss when it is crucial to correct for these errors and when it may be appropriate to skip correction.

Machine Learning (ML)

Non-negative matrix factorization (NMF) vs Principal Component Analysis (PCA)

In the field of data analysis and dimensionality reduction, Non-negative Matrix Factorization (NMF) and Principal Component Analysis (PCA) are two powerful techniques that play an important role in uncovering patterns, reducing noise, and extracting essential features from complex datasets.