Explain how collections can be accessed using an iterator with an example. Accessing Collections Using an Iterator in Java In Java, an Iterator is an object that allows you to…
What are Legacy Classes in Java? Legacy classes are classes that were part of Java before the Collection Framework was introduced in Java 1.2. These classes were later adapted to…
What is Collection Framework? Explain the methods defined by the following interfaces Answer:- 1. Collection Framework (Java) The Java Collection Framework is a unified architecture for representing and manipulating collections…
Module 1 1] Define Computer Graphics. Explain the applications of Computer Graphics. 2] Describe the basic structure of an OpenGL graphics program, including necessary OpenGL functions. 3] Explain Bresenham’s Line drawing algorithm with…
Difference Between Classification and Clustering S.No Classification Clustering 1. Supervised learning Unsupervised learning 2. Works with labelled data Works with unlabelled data 3. Requires prior knowledge or domain expertise No…
Applications of Artificial Neural Networks Artificial Neural Networks (ANNs) are widely used in various real-world domains due to their ability to handle complex, nonlinear, and noisy data. 1. Real-Time Applications:…
Structure of Perceptron Model: A perceptron consists of: Mathematical Model:
Artificial neurons are the basic units of an Artificial Neural Network (ANN). They are inspired by the biological neurons in the human brain and function similarly by receiving inputs, processing…
The Bayes Optimal Classifier is a probabilistic model that uses Bayes theorem to make the most accurate classification of a new instance by considering the predictions from all possible hypotheses,…
The Naive Bayes algorithm is a supervised classification algorithm used for binary or multi-class classification. It works on the Bayes theorem principle and assumes that all features in the dataset…
