Researchers at the University of Notre Dame have developed a new open-source toolkit intended to make iris recognition technology more transparent, easier to test, and more accessible to academic ...

Posit’s ggbot2 is a voice assistant for ggplot2. Tell it what you want in a spoken conversation, and it will generate plots and ggplot2 R code from your data. Typing questions into a chatbot is nice, ...

In the Getting started directory, you’ll find a step-by-step tutorial to build your own Word Cloud app. Training version: Practice assembling the Python code yourself. Wordcloud - complete: The fully ...

Infectious keratitis is among the major causes of global blindness. Anterior segment optical coherence tomography (AS-OCT) images allow the characterizing of cross-sectional structures in the cornea ...

Tropical cyclones (TCs) are extreme weather systems which, when they make landfall, can become a deadly natural disaster causing deaths and billions of dollars worth of loss per year 1. Under climate ...

The Iris dataset is a renowned and pivotal dataset that was first introduced by the statistician and biologist Sir R.A Fisher in 1936 which became a widely using dataset in machine learning and ...

In this article, we embark on a journey into the Iris dataset, a classic in the field of machine learning. The dataset comprises 150 samples of iris flowers, each characterized by four features: sepal ...

Dr. James McCaffrey of Microsoft Research demonstrates how to fetch and prepare MNIST data for image recognition machine learning problems. Many machine learning problems fall into one of three ...

A good way to see where this article is headed is to take a look at the screen shot of a demo program shown in Figure 1. The demo sets up a dummy dataset of six items: [ 5.1 3.5 1.4 0.2] [ 5.4 3.9 1.7 ...

This repository contains my solutions to the "Problem Set 2019" for the module "Programming and Scripting" at GMIT. See here for the instructions : https://github.com ...