Deep Learning with Yacine on MSN

Build k-nearest neighbors from scratch in Python – step by step tutorial

Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...
Deep Learning with Yacine on MSN

Adadelta optimizer explained – Python tutorial for beginners & pros

Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind ...
IEEE

Two-dimensional Locality Preserving Projections Image Recognition Algorithm based on Nearest Orthogonal Matrix

Abstract: Aiming at the recognition problems such as facial changes and uneven grayscale caused by expression and illumination changes in image recognition, a two dimensional Locality Preserving ...
BMJ Open

Development and evaluation of a diagnostic aiding tool for differentiating tropical fevers using artificial intelligence approach: a study protocol from tertiary care hospital ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
IEEE

Network Intrusion Detection Using K-Nearest Neighbors (KNN) and Recurrent Neural Networks (RNN)

Abstract: In today's interconnected world, the security of computer networks is of utmost importance due to the prevalence of cyber threats. To tackle this challenge, a machine learning-based ...