Memeburn

What Is Machine Learning? How It Works, Types & Real-World Uses (2026)

Learn what machine learning is, how it works, its types, the algorithms it uses, and its real-world uses in this complete ...
IEEE

Optimized Identification of Sentence-Level Multiclass Events on Urdu-Language-Text Using Machine Learning Techniques

Abstract: In today’s digital world, social media platforms generate a plethora of unstructured information. However, for low-resource languages like Urdu, there is a scarcity of well-structured data ...

US-DATA Expands AI Data Annotation Services

US-DATA announced the expansion of its international data annotation services for companies developing artificial intelligence, computer vision and machine learning systems. The company said the ...

US-DATA Expands Global Data Annotation Services for AI, Computer Vision and Machine Learning Projects

As artificial intelligence becomes a core part of business infrastructure, the quality of training data is now one of the most important factors behind model performance. US-DATA ...
iAfrica

Zambian Student Builds Machine Learning System to Help African Farmers Adapt to Climate Change

A Zambian graduate student in the United States is developing a machine learning system designed to help African farmers ...
The Lancet

Risk-stratified classification of pulmonary nodule malignancy via a machine learning model integrating imaging and cell-free DNA: a model development and validation study ...

aDepartment of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for ...
Visual Studio Magazine

Tsetlin Machine Binary Classification Using C#

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...
Frontiers

An explainable machine learning model for predicting chronic coronary disease and identifying valuable text features

Chronic Coronary Disease (CCD) is a leading global cause of morbidity and mortality. Existing Pre-test Probability (PTP) models mainly rely on in-hospital data and clinician judgment. This study aims ...
GitHub

drug-classification

A lightweight project that stores the Anatomical Therapeutic Chemical (ATC) drug classification data as JSON and provides easy access to the data, including mappings between Drug names, ATC codes, and ...
Hacker

14 Open Datasets for Text Classification in Machine Learning

I'm interested in the AI trends that shape how people and technology intersect and interact. I'm interested in the AI trends that shape how people and technology intersect and interact. I'm interested ...
Frontiers

Migraine triggers, phases, and classification using machine learning models

In many countries, patients with headache disorders such as migraine remain under-recognized and under-diagnosed. Patients affected by these disorders are often unaware of the seriousness of their ...