Introduction Kohonen proposed the idea of a self-organizing map (SOM) in the first place. Since it is an unsupervised neural network that is trained using unsupervised learning methods to create a low-dimensional, discretized representation from the input space of the training samples, it is a way to minimise the dimensions of the data. A map is a common name for this representation. This article will walk through a Kohonen Map beginner's guide, which is a well-known self-organizing map. To begin, let's define what self-organizing maps are. Self-Organizing Maps Self-organizing maps, also known as Kohonen maps or SOMs, are ... Read More

Introduction Machine learning models are essential for successful AI implementation since they represent the mathematical underpinnings of artificial intelligence. The quality of our AI depends entirely on the machine models that power it. We require a method for objectively evaluating our machine learning model's performance and deciding whether it is suitable for use. If we had a ROC curve, that would be useful. Everything that we need to learn about ROC curves is covered in this article. ROC Curve A Receiver Operating Characteristic (ROC) curve is a graphical representation of the performance of a binary classification model. It plots ... Read More

Introduction The learning component of artificial intelligence (AI) is indeed the focus of the area of machine learning. Algorithms that represent a set of data are used to create this learning component. To train machine learning models, certain datasets are sent through the algorithm. This article will define the term "Epoch, " which is used in machine learning, as well as other related topics like iterations, stochastic gradient descent. Anyone studying deep learning and machine learning or attempting to pursue a career in this industry must be familiar with these terms. Epoch in ML In machine learning, an epoch is ... Read More

Kaggle is a social hub for data science and machine learning advocates where enthusiasts learn, explore, share, and collaborate to enhance their skills. Kaggle is like a playground for data, providing features like courses, competitions, discussions, and more. It provides users with a Jupyter notebook-like environment, saving time on setup and getting to work quickly. Kaggle is a great platform to practice and improve your skills. However, if you're new to Kaggle, the platform can be quite overwhelming to navigate. In this article, you’ll get a quick overview of how ML engineers can make the most of Kaggle. We'll guide ... Read More

Introduction Image Segmentation is the process of dividing a digital image into smaller groups so that processing and analyzing the larger images becomes easier and simpler. Region and Edge-based segmentation are different types of Image Segmentation. Before diving into Region and Edge based Segmentation, let us have a brief overview of how segmentation is done. Image Segmentation In simpler terms, segmentation is the process of assigning specific labels to pixels in an image. A group of pixels with the same label become a segment of the larger image. For example, below are two images with their segmentation. In the ... Read More

Introduction Non-Negative Matrix Factorization (NMF) is a supervised algorithm used to represent data into lower dimensions which reduces the number of features while preserving enough basic information to construct the original matrix from the reduced feature space. In this article, we will be going explore more about NMF and how it can be useful. Non-Negative Matrix Factorization NMF is used to reduce the dimensions of the input matrix or corpus. It uses factor analysis which gives less importance to less relevant words. The decomposition of the original matrix(which is a non-negative matrix) thus creates a product of two non-negative coefficients ... Read More

Introduction Multilingual Google Meet summarizer is a tool/chrome extension that can create transcriptions for google meet conversations in multiple languages. During the COVID times people, they need a tool that can effectively summarize meetings, classroom lectures, and convection videos. Thus such a tool can be quite useful in this regard. In this article, let us have an overview of the project structure and explore some implementation aspects with the help of code. What this project is all about? This is a simple chrome extension that when enabled during a google meet session can generate meeting transcriptions and summarize the conversation ... Read More

Introduction Teaching Learning Based Optimization (TLBO) is based on the relationship between a teacher and the learners in a class. In a particular class, a teacher imparts knowledge to the students through his/her hard work. The students or learners then interact with each other among themselves and improve their knowledge. Let us explore more about Teacher Learning Based Optimization through this article. What is TLBO? Let us consider a population p (particularly a class) and the number of learners l in the class. There may be decisive variables (subjects from which learners gain knowledge) for the optimization problem. Two modes ... Read More

Introduction The Particle Swarm Optimization algorithm is inspired by nature and is based on the social behavior of birds in a flock or the behavior of fish and is a population-based algorithm for search. It is a simulation to discover the pattern in which birds fly and their formations and grouping during flying activity. Particle Swarm Optimization Algorithm In the PSO Algorithm, each individual is considered to be a particle in some high-dimensional search space. Inspired by the social and psychological behavior of people, which they tend to copy from other people's success, similar changes are made to the particles ... Read More

Introduction Image Segmentation is the process of partitioning an image into multiple regions based on the characteristics of the pixels in the original image. Clustering is a technique to group similar entities and label them. Thus, for image segmentation using clustering, we can cluster similar pixels using a clustering algorithm and group a particular cluster pixel as a single segment. Thus, let's explore more image segmentation using clustering, Image Segmentation The process of image segmentation by clustering can be carried out using two methods. Agglomerative clustering Divisive clustering In Agglomerative clustering, we label a pixel to a close ... Read More