Nature

Data-driven audiogram classifier using data normalization and multi-stage feature selection

Audiograms are used to show the hearing capability of a person at different frequencies. The filter bank in a hearing aid is designed to match the shape of patients’ audiograms. Configuring the ...
Nature

A data-centric machine learning approach to improve prediction of glioma grades using low-imbalance TCGA data

Accurate prediction and grading of gliomas play a crucial role in evaluating brain tumor progression, assessing overall prognosis, and treatment planning. In addition to neuroimaging techniques, ...
Forbes

The Power Of Machine Learning: The Business Impact On Real-Time Data

Intelligent organizations prioritize investments in machine learning and real-time data to improve decision making, accelerate revenue generation efforts, reduce operational expenses and protect ...
Visual Studio Magazine

Nearest Centroid Classification for Numeric Data Using C#

Here's a complete end-to-end demo of what Dr. James McCaffrey of Microsoft Research says is arguably the simplest possible classification technique. The goal of a machine learning classification ...
TechCrunch

Ntropy raises cash to normalize and classify transaction data

Ntropy, a company offering an API that enriches transaction data for financial services businesses, today announced that it raised $11 million in a Series A round led by Lakestar with participation ...