Open Heart

Severe aortic stenosis detection using seismocardiography

Background Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite ...

Data science roles in the industry

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...
Bulletin of the Atomic Scientists

Division begets division in the age of algorithmic classification

Social media and algorithmic recommendations aren’t just reflecting our divisions — they’re driving them. According to a poll conducted by Siena University and The New York Times, “most voters think ...
Scientific Research Publishing

Performance of Different Machine Learning Algorithms for Credit Risk Classification ()

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...
Frontiers

Comparative evaluation of fast-learning classification algorithms for urban forest tree species identification using EO-1 hyperion hyperspectral imagery

Introduction: Accurate identification of forest tree species is essential for sustainable forest management, biodiversity assessment, and environmental monitoring. Urban forests, in particular, ...
IEEE

FCIGPG: An Approach to Fuzzy Classification Based on Information Granule Purity and Granularity

Abstract: In the realm of contemporary machine learning and data science, classification algorithms occupy a pivotal role. Granular computing (GrC), as an emerging paradigm for data handling and ...
financefeeds

cTrader Introduces Native Python Supporting More Algo Trading Participants

Spotware, the developer of the cTrader multi-asset trading platform has launched an essential update with the introduction of cTrader Windows version 5.4, native Python, supporting algorithmic trading ...
Scientific Research Publishing

A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites ()

The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by security ...
IEEE

Dynamic Classification: Leveraging Self-Supervised Classification to Enhance Prediction Performance

Abstract: In this study, we propose an innovative dynamic classification algorithm aimed at achieving zero missed detections and minimal false positives, critical in safety-critical domains (e.g., ...
Frontiers

KDDC: a new framework that integrates kmers, dataset filtering, dimension reduction and classification algorithms to achieve immune cell heterogeneity classification

Introduction: Integrating immune repertoire sequencing data with single cell sequencing data offers profound insights into the diversity of immune cells and their dynamic changes across various ...
Hosted on MSN

Adadelta Algorithm from Scratch in Python

Learn how the Adadelta optimization algorithm really works by coding it from the ground up in Python. Perfect for ML enthusiasts who want to go beyond the black box! Florida State Bracing for Hefty ...