Image Classification with CNNs
Image Classification with Convolutional Neural Networks (CNNs) Introduction Image classification is a fundamental task in computer vision where an algorithm assigns a label to an image from a predefined set….
Tag: Pattern Recognition
Named Entity Recognition (NER)
Named Entity Recognition (NER) – A Comprehensive Guide 1. Introduction to Named Entity Recognition (NER) Named Entity Recognition (NER) is a fundamental task in Natural Language Processing (NLP) that involves….
Introduction to Neural Networks
Introduction to Neural Networks: Detailed Explanation A Neural Network (NN) is a computational model inspired by the way biological neural networks in the human brain process information. It is a….
Self-Organizing Maps (SOMs)
Self-Organizing Maps (SOMs): Detailed Explanation Self-Organizing Maps (SOMs), also known as Kohonen maps, are a type of unsupervised neural network developed by Teuvo Kohonen in the 1980s. SOMs are primarily….
Association Rule Learning (Apriori, Eclat)
Association Rule Learning: Apriori and Eclat Algorithms Association Rule Learning is a technique in data mining used to discover interesting relationships (associations) between variables in large datasets. It is commonly….
DBSCAN Clustering
DBSCAN Clustering: A Comprehensive Guide 1. Introduction to DBSCAN DBSCAN (Density-Based Spatial Clustering of Applications with Noise) is an unsupervised machine learning clustering algorithm that groups together points that are….
Gaussian Mixture Models
Gaussian Mixture Models (GMM) – A Comprehensive Guide 1. Introduction to Gaussian Mixture Models (GMM) A Gaussian Mixture Model (GMM) is a probabilistic clustering algorithm based on the assumption that….
K-Means Clustering
K-Means Clustering: A Comprehensive Guide 1. Introduction to K-Means Clustering K-Means Clustering is an unsupervised machine learning algorithm used for grouping similar data points into clusters. It aims to partition….
k-Nearest Neighbors (k-NN)
k-Nearest Neighbors (k-NN) Algorithm in Machine Learning 1. Introduction to k-Nearest Neighbors (k-NN) k-Nearest Neighbors (k-NN) is a supervised learning algorithm used for classification and regression tasks. It is a….
Support Vector Machines (SVM)
Support Vector Machines (SVM) in Machine Learning 1. Introduction to Support Vector Machines (SVM) Support Vector Machine (SVM) is a supervised learning algorithm used for classification and regression problems. SVM….