Analytics Insight

10 Must-Know Machine Learning Algorithms for Data Science in 2026

Machine learning algorithms help computers analyse large datasets and make accurate predictions automatically.Classic models like regression, dec ...

What makes a genus real? Scientists use tree bats to evaluate a testable '2 Sigma Genus Concept'

Dr. Amy Baird, Professor of Biology at the University of Houston-Downtown (UHD), and her colleagues are seeking to change the attitude of biologists toward the meaning of taxonomic categories above ...

EPC Group Launches AI Decision Intelligence Framework for Microsoft Power BI

New framework combines Copilot, Claude, ChatGPT, Gemini, Perplexity, and multi-model LLMs to transform Power BI and ...
IEEE

Optimized Predictive Technique for Intelligent Classification (OPTIC): A Decision Tree Ensemble Approach for Neurodegenerative Disease Detection via Gait Pattern Analysis

Abstract: Purpose of the Study: Neurodegenerative diseases such as Parkinson’s, Alzheimer’s, and Huntington’s progressively impair motor and cognitive functions, making early detection essential for ...
Devdiscourse

AI and machine learning drive digital transformation across global mining operations

Read more about AI and machine learning drive digital transformation across global mining operations on Devdiscourse ...
SciELO

The utility of an artificial intelligence model based on decision tree and evolution algorithm to evaluate steatotic liver disease in a primary care setting

This cross-sectional study investigated SLD-related variables using decision tree regression in apparently healthy adults. Participants were consecutively recruited from the Health Promotion and Check ...
Scientific Research Publishing

Efficiency of Classification Algorithms in Monitoring Land Use through Remote Sensing in Sissili Province of Burkina Faso ()

Monitoring of natural resources is a major challenge that remote sensing tools help to facilitate. The Sissili province in Burkina Faso is a territory that includes significant areas dedicated for the ...
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 = ...