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Category Archives: Machine Learning

Machine Learning (ML) has been actively developing over the past decade. And we must admit that progress has achieved impressive success. However, despite the active… Read More
In this article, we will discuss how to perform Exploratory Data Analysis on the Iris dataset. Before continuing with this article, we have used two… Read More
Pre-requisite: BERT-GFG BERT stands for Bidirectional Representation for Transformers. It was proposed by researchers at Google Research in 2018. Although, the main aim of that… Read More
Previous article Particle Swarm Optimization – An Overview talked about inspiration of particle swarm optimization (PSO) , it’s mathematical modelling and algorithm. In this article… Read More
Previous article Teaching Learning based Optimization (TLBO) talked about inspiration of teaching learning based optimization , it’s mathematical modelling and algorithm. In this article we… Read More
Previous article Whale optimization algorithm (WOA) talked about inspiration of whale optimization , it’s mathematical modelling and algorithm. In this article we will implement whale… Read More
Introduction: Image Recognition plays an important role in many fields like medical disease analysis, and many more. In this article, we will mainly focus on… Read More
Segmentation By clustering It is a method to perform Image Segmentation of pixel-wise segmentation. In this type of segmentation, we try to cluster the pixels… Read More
Graph Data Structure: In the real world, Networks are just the collection of interconnected nodes. To represent this type of network we need a data… Read More
Segmentation Segmentation is the separation of one or more regions or objects in an image based on a discontinuity or a similarity criterion. A region… Read More
Prerequisites: Matrix Diagonalization, Eigenvector Computation and Low-Rank Approximations Before getting in depth into the SVD, let us first briefly understand what Matrix Diagonalization technique is… Read More
Introduction: Handwritten digit recognition using MNIST dataset is a major project made with the help of Neural Network. It basically detects the scanned images of… Read More
Boolean Model It is a simple retrieval model based on set theory and boolean algebra. Queries are designed as boolean expressions which have precise semantics.… Read More
Linear Discriminant Analysis Now, Let’s consider a classification problem represented by a Bayes Probability distribution P(Y=k | X=x), LDA does it differently by trying to… Read More
Locally weighted linear regression is the nonparametric regression methods that combine k-nearest neighbor based machine learning. It is referred to as locally weighted because for… Read More