Free courses to learn Python from IIT Bombay, Google, MIT & more

In this article, we will be sharing some free Python programming courses offered by SWAYAM, MIT and Google that can be great ...
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Reduced Row Echelon Form (RREF) in Python – Algorithm from Scratch

Learn how to implement the Reduced Row Echelon Form (RREF) algorithm from scratch in Python! Step-by-step, we’ll cover the theory, coding process, and practical examples for solving linear systems.
IEEE

Clustering Algorithm by Boundary Detection Base on Entropy of KNN

Abstract: Clustering analysis has been widely applied in various fields, and boundary detection based clustering algorithms have shown effective performance. In this work, we propose a clustering ...
SciELO

Precision crack analysis in concrete structures using CNN, SVM, and KNN: a machine learning approach

Cracks in structures are discontinuities that occur due to stress, material degradation, or design flaws, compromising structural integrity. Detecting and analyzing cracks is crucial for assessing ...
IEEE

Advanced SVM and KNN Algorithms for Fault Detection in Power Transformers based on Dissolved Gas Analysis

Abstract: Power transformers, as oil-immersed equipment, are primarily diagnosed using dissolved gas analysis (DGA), a widely recognized and effective fault detection method. Over time, numerous ...
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, ...
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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 ...
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 ...