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, ...
SciTech Daily

New Quantum Algorithm Could Explain Why Matter Exists at All

An artist’s impression of a quantum electrodynamics simulation using 100 qubits of an IBM quantum computer. The spheres and lines denote the qubits and connectivity of the IBM quantum processor; gold ...
GitHub

AntonisZks/Vamana-Indexing-Algorithm

Για την κατασκευή των εκτελέσιμων αρχείων παρέχονται διάφορες εντολές που εξασφαλίζουν τη μεταγλώττιση της κύριας εφαρμογής, των unit tests, καθώς και συνδιασμό τους: Για την μεταγλώττιση της ...
Forbes

LinkedIn's Algorithm Exposed: What They're Not Telling You About Getting Seen In 2025

LinkedIn support accidentally revealed its algorithm: it tracks "viewer tolerance," reducing visibility for authors whose posts are consistently ignored. To succeed, diversify content types weekly, ...
The New York Times

In ‘The Perfect Neighbor,’ a Terrible Crime Collides With Ethical Concerns

Geeta Gandbhir’s film examines the killing of a Florida woman and “stand your ground” laws, but the issues it raises are bigger than those statutes. By Alissa Wilkinson When you purchase a ticket for ...
来自MSN

Adagrad Algorithm Explained and Implemented from Scratch in Python

Learn the Adagrad optimization algorithm, how it works, and how to implement it from scratch in Python for machine learning models. #Adagrad #Optimization #Python Here Are the States That Won't Tax ...
Frontiers

Density peak clustering algorithm based on weighted mutual K-nearest neighbors

1 School of Computer Science and Technology, Yibin University, Yibin, China 2 School of Computer and Software, Southwest Petroleum University, Chengdu, China Ever since Density Peak Clustering (DPC) ...
marktechpost

Meet LEANN: The Tiniest Vector Database that Democratizes Personal AI with Storage ...

Embedding-based search outperforms traditional keyword-based methods across various domains by capturing semantic similarity using dense vector representations and approximate nearest neighbor (ANN) ...
IEEE

K-Nearest Neighbor Algorithm Based on the Framework of Ordered Pair of Normalized Real Numbers

Abstract: The K-nearest neighbors (kNNs) algorithm, a cornerstone of supervised learning, relies on similarity measures constrained by real-number-based distance metrics. A critical limitation of ...
IEEE

An Improved Nearest Neighbor Algorithm Based on Trajectory-Oriented Estimation

Abstract: In the multi-target tracking scenario, the nearest neighbor(NN) algorithm is the most commonly used method in the track association stage. By setting the tracking gate, the initial screening ...
Frontiers

Fault diagnosis algorithm based on multi-channel neighbor feature convolutional network

Introduction: The health status of bearings is an essential prerequisite to ensure the safe and stable operation of vehicles. However, the negative impact of covariate shifts among data channels on ...