The 10 Best AI Courses to Take in 2026

Explore the 10 best generative AI courses to take in 2026, with options for hands-on training, certifications, and practical ...
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 ...
Hosted on MSN

Python neural network for multiclass classification using softmax

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
Medical Xpress

Information Science: News and Research on Classification Algorithms

Cancer is one of the most devastating diseases in the world. In 2023, more than 1.9 million new cancer cases and 609,820 deaths are projected to occur in the United States alone. As efforts are ...
Bulletin of the Atomic Scientists

Division begets division in the age of algorithmic classification

Abbas, S.K. 2025. “Lending by Algorithm: Fair or Flawed? An Information-Theoretic View of Credit Decision Pipelines.” July 2024. SN Computer Science. https://link ...
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 ...
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 ...
GitHub

Data Structures and Algorithms Repository

Welcome to the Data Structures and Algorithms Repository! My aim for this project is to serve as a comprehensive collection of problems and solutions implemented in Python, aimed at mastering ...
IEEE

A machine learning-based investigation into the detection of trojan horse malware using classification algorithms

Abstract: This study proposes a deep learning-based framework There has been an increase in internet use which has come along with the expanse of cyber crime especially on malware-based intrusion. The ...