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Adagrad Algorithm Explained — Python Implementation from Scratch

Learn how the Adagrad optimization algorithm works and see how to implement it step by step in pure Python — perfect for beginners in machine learning! #Adagrad #MachineLearning #PythonCoding FBI ...
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, ...
Scientific Research Publishing

Virtanen, P., Gommers, R., Oliphant, T.E., Haberland, M., Reddy, T., Cournapeau, D., et al. (2020) Author Correction: SciPy 1.0: Fundamental Algorithms for Scientific Computing ...

ABSTRACT: Background/Objective: Wrinkles, nasolabial folds, pigmented spots, and roughness are representative parameters reflecting facial skin aging. Among them, nasolabial folds are a particular ...
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Adadelta Algorithm from Scratch in Python

Learn how the Adadelta optimization algorithm really works by coding it from the ground up in Python. Perfect for ML enthusiasts who want to go beyond the black box! Florida State Bracing for Hefty ...
Frontiers

Spectroscopic detection of cotton Verticillium wilt by spectral feature selection and machine learning methods

Introduction: Verticillium wilt is a severe soil-borne disease that affects cotton growth and yield. Traditional monitoring methods, which rely on manual investigation, are inefficient and impractical ...
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 ...
IEEE

Investigation on PCA and LDA Feature Extraction Algorithms with KNN Classifier Targetting to Improve Diagnostic Accuracy into Detection of Breast Cancer Malignancy

Abstract: This work aims to compare two different Feature Extraction Algorithms (FEAs) viz. Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA), using a K-Nearest Neighbor (KNN) ...
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.
Frontiers

Transformers deep learning models for missing data imputation: an application of the ReMasker model on a psychometric scale

1 Natural and Artificial Cognition Laboratory, Department of Humanistic Studies, University of Naples “Federico II”, Naples, Italy 2 Department of Translational Medical Science, University of Naples ...