Deep Learning with Yacine on MSN

Backpropagation from Scratch in Python – Step by Step Neural Network Tutorial

Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding ...
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, ...
GitHub

Python Implementation of MUVERA: Multi-Vector Retrieval via Fixed Dimensional Encodings

Fixed-Dimensional Encoding (FDE) solves a fundamental problem in modern search systems: how to efficiently search through billions of documents when each document is represented by hundreds of vectors ...
GitHub

QAMP Project Proposal: Hybrid Quantum-Classical Algorithm for Minimum Steiner Tree Optimization

This project proposes the development and mentorship of a hybrid quantum-classical algorithmic framework to solve the Minimum Steiner Tree problem, a fundamental combinatorial optimization challenge ...
IEEE

Machine Learning Based Prediction of Cardiovascular Disease Using KNN and SVM Algorithms

Abstract: Cardiovascular diseases are a significant reason of suffering and several healthy years of lives lost as well as deaths in the world at large. There is the possibility of significantly ...
The Hacker News

HiddenGh0st, Winos and kkRAT Exploit SEO, GitHub Pages in Chinese Malware Attacks

Chinese-speaking users are the target of a search engine optimization (SEO) poisoning campaign that uses fake software sites to distribute malware. "The attackers manipulated search rankings with SEO ...
IEEE

Non-Intrusive Load Monitoring Modeling and Analysis Based on Optimized K-Nearest Neighbor Algorithm

Abstract: Aiming at the problem that the recognition rate of the K-Nearest Neighbor (KNN) algorithm is not high in the face of similar power fingerprints in non-intrusive load recognition, an improved ...