Deep Learning with Yacine on 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 ...
Deep Learning with Yacine on MSN

Backpropagation with Automatic Differentiation from Scratch in Python

Learn how backpropagation works using automatic differentiation in Python. Step-by-step implementation from scratch.
IEEE

Ingenious K Nearest Neighbor based Systematic prediction of Early Floods in Uncertain Weather Forecasts

Abstract: The purpose of this research is to create and evaluate a clever K Nearest Neighbor-based systematic prediction system against the Decision Tree Classifier method for early flood detection in ...
GitHub

FPGA-Based Hardware Accelerator for K-Nearest Neighbors (KNN)

This repository contains the implementation of a hardware-accelerated K-Nearest Neighbors (KNN) algorithm using Verilog on an FPGA. The project includes performance and timing analysis using Quartus, ...
IEEE

Concise Prediction of Early Floods in Variable Weather Forecasts using K Nearest Neighbor

Abstract: Aim: In light of unpredictable weather forecasts, the goal of this research is to develop and assess a sophisticated K nearest Neighbor (KNN) based systematic prediction system for early ...
GitHub

knn-clustering

The objective of this project is to facilitate the use of clustering algorithms by engineering students who are not specialized in AI.
Scientific Research Publishing

Smith, J. and Doe, R.L. (2024) Personalized Learning Pathways: Integrating AI in Modern Education. Educational Technology & Society, 27, 15-28.

ABSTRACT: The 2018 General Education Program in Vietnam emphasizes personalized learning and the application of technology in teaching. This study proposes a customized learning system integrating ...