Data Science and AI

CatBoost Algorithm

What is CatBoost Algorithm? CatBoost (Categorical Boosting) is a gradient boosting algorithm developed by Yandex. It is specifically designed to handle categorical features efficiently and automatically, without requiring extensive preprocessing…

Prewitt Operator

What is Prewitt Operator? The Prewitt Operator Algorithm is a classical gradient-based edge detection technique used in digital image processing to identify intensity discontinuities in images. These discontinuities typically represent…

Page Rank Algorithm

What is Page Rank Algorithm? The Page Rank Algorithm is a link analysis algorithm used to measure the relative importance of nodes within a network. Most commonly, it is applied…

Sobel Operator Algorithm

What is Sobel Operator? The Sobel Operator is a widely used gradient-based edge detection technique in digital image processing and computer vision. It is designed to identify edges by detecting…

Roberts Edge Detector Algorithm

What is Roberts Edge Detector Algorithm? The Roberts Edge Detector Algorithm is one of the earliest and simplest methods used in digital image processing for detecting edges in images. Edge…

Superpixel Segmentation (SLIC) Algorithm

What is Superpixel Segmentation (SLIC) ? Superpixel segmentation is a fundamental concept in computer vision that aims to group pixels into perceptually meaningful atomic regions called superpixels. Instead of processing…

Louvain Algorithm

Community detection is one of the most important problems in network science: given a graph, how do we find groups of nodes that are more densely connected to each other…

Label Propagation Algorithm

What is Label Propagation Algorithm? Label Propagation Algorithm (LPA or LAP) is a simple, fast, and intuitive semi-supervised (and unsupervised) graph-based method for community detection and label inference on graphs.…

Random Forest Algorithm

What is Random Forest? Random Forest is an ensemble learning method for classification and regression that builds a collection (a “forest”) of decision trees and combines their predictions to produce…

Latent Semantic Analysis

Latent Semantic Analysis (LSA) is a foundational technique in natural language processing and information retrieval that uncovers hidden (latent) relationships between words and documents. It transforms raw text into a…