1.What is Node.js? -Node.js is a JavaScript runtime built on Chrome’s V8 JavaScript engine. It enables developers to run JavaScript on the server-side and is designed to build scalable, high-performance applications. 2.What are the benefits of using Node.js? -Some of the benefits of using Node.js include: • It’s fast and efficient because it uses non-blocking …
1.What is ReactJS? -ReactJS is a JavaScript library used for building user interfaces. It was developed by Facebook and is currently maintained by Facebook and a community of developers. 2. What are the key features of ReactJS? – The key features of ReactJS are: • Virtual DOM • JSX syntax • Component-based architecture • Unidirectional data …
1. What is HTML? HTML stands for Hypertext Markup Language.? – It is a Hypertext standard markup language (HTML) used to create web pages and other information that can be displayed in a web browser. 2.What are the different versions of HTML? -The different versions of HTML are HTML 1.0, HTML 2.0, HTML 3.2, HTML 4.01, …
1. What is JavaScript, and what are its primary features? JavaScript is a programming language that is used to create interactive web pages. Its primary features include a syntax that is similar to C and Java, dynamic typing, and support for functional and object-oriented programming paradigms. 2. What is the difference between let and var …
FEATURED IMAGE REFERENCE :
https://www.pyimagedata.com/how-to-create-a-single-layer-perceptron/
Image Reference :https://towardsdatascience.com/mcculloch-pitts-model-5fdf65ac5dd1
Solution : In order to use KNN (k-nearest neighbors) to predict the values of X1 and X2 in the Result column, we need to first determine which of the given data points are the nearest neighbors of the unknown values. Assuming we use k=3 (i.e., we will look at the three nearest neighbors), we can …
Machine learning has become an integral part of the banking and securities industry in recent years. It is being used in various applications, such as fraud detection, customer data management, personalized marketing, credit risk analysis, and more. In this response, I will discuss some of the ways machine learning is being used in the banking …
Application of Machines Learning in Banking and Securities Read More »
