Opinion

How do different data preprocessing techniques affect performance of machine learning models on prediction tasks?

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...
Analytics Insight

10 Essential Exploratory Data Analysis Methods to Master in 2026

Overview: EDA techniques can help you translate your data into useful and actionable insights.Discover how top analysts uncover patterns, eliminate errors, and ...
EurekAlert!

Revolutionary 'scLENS' unveiled to decode complex single-cell genomic data

(Left) Current dimensionality reduction methods for scRNA-seq data involve conventional data preprocessing steps, such as log normalization, followed by manual selection of signals from the scaled ...
Business Wire

Know Labs Demonstrates Improved Accuracy of Machine Learning Model for Non-Invasive Glucose Monitor

SEATTLE--(BUSINESS WIRE)--Know Labs, Inc. (NYSE American: KNW) today announced results from a new study titled, “Novel data preprocessing techniques in an expanded dataset improve machine learning ...
Scientific Research Publishing

Dimensionality Reduction Evaluation for Multivariate Quantum Data ()

Visualization, Dimensionality Reduction, Reproducibility, Stability, Multivariate Quantum Data, Information Retrieval ...