Given an input the app will predict the next word.

Natural Language Processing is the attempt to use computers and their data processing capabilities to understand, make use of, or predict text based on words that are combined as human beings normally write, say, or read them. While human beings are often intuitively capable of these sorts of tasks without expending much effort it is the case that the lack of hard and fast rules means that computers often have difficulty with the same thing. This document contains an exploratory analysis of some input data (texts) and a basic prediction function to predict the next word in a phrase given the previous 1, 2, or 3 words.

The app to which this presentation links is intended as a demonstration of the Central Limit Theorem. The CLT states that the means of sets of random variables are approximately normally distributed regardless of the distribution from which the original values were generated. The app allows the user to adjust various parameters and see how they affect the associated graphs.

Graphical view of the topography of the Auckland, New Zealand volcanic field.

This presentation on some aspects of the country of New Zealand is an exploration of some of the leaflet functionality in R for presenting interactive maps.

Recently it has become common to track (automatically) how much of an exercise a person does. however, the way in which a person does an exercise is still not normally evaluated using the same sorts of techniques. This paper fits a random forest model to a dataset including accelerometer data in order to predict whether a Unilateral Dumbbell Bicep Curl was performed correctly or in one of 4 incorrect ways. Original paper citation - Ugulino, W.; Cardador, D.; Vega, K.; Velloso, E.; Milidiu, R.; Fuks, H. Wearable Computing: Accelerometers' Data Classification of Body Postures and Movements. Proceedings of 21st Brazilian Symposium on Artificial Intelligence. Advances in Artificial Intelligence - SBIA 2012. In: Lecture Notes in Computer Science. , pp. 52-61. Curitiba, PR: Springer Berlin / Heidelberg, 2012. ISBN 978-3-642-34458-9. DOI: 10.1007/978-3-642-34459-6_6. Cited by 2 (Google Scholar)

Brief Analysis of the mtcars dataset in an effort to determine a relationship between transmission type and mpg. Ultimate conclusion is that the relationship is not between transmission type and mpg but between some other variables and mpg.

Using t tests I test the mean difference of lengths of guinea pig odontoblasts (cells that form a part of tooth growth).

The Central Limit Theorem states that the means of a number of random variables are normally distributed regardless of the distribution from which the original random variables were generated. In this document I sun a simulation to show the accuracy of the theorem.

Analyzing population effect (fatalities and injuries) and economic effect (property damage and crop damage) per the type of weather event.