Neural Style Transfer

What is neural style transfer and how does it involve artificial intelligence?
Neural style transfer is a technique that takes a content image and style image and combines the two images so that the final output is in the style of the style image.

So, for example …

What is a temperature quilt?

A temperature quilt displays the daily temperature data from a specific date range in a specific location. Colors are assigned to specific temperature ranges so that the quilt (or image) is a visual record of the climate. This app is a demonstration project for data …

The Monty Hall Problem and Streamlit

Once I learned about Streamlit.io, I couldn't resist the opportunity to write a simulation of the Monty Hall problem!

The Monty Hall problem involves a game show and prizes! On the game show, contestants were given the choice of three doors. One door …

Feed Forward Networks

Ever wondered out deep learning and neural networks work? The descriptions always contain the phrase "back propagation". But what exactly is back propagation? In this blog post, we'll start with a simulated neural network and see how it is applied to a test case. Then, we delve …

Do you want to build a decision tree classifier?

In this blog entry, we'll construct a decision tree using Sci-Kit Learn. I selected the data set: Adult. (1996) from the UCI Machine Learning Repository. The data set contains categorical and numerical data about individuals and contains a binary, categorical variable …

Hello data science!

In this article, we'll create a small simulation and explore confidence intervals and the central limit theorem.

We frequently talk about 95% or 90% confidence intervals but what information do these intervals give us?

The Central Limit Theorem

Given a population with mean \(\mu\) and standard deviation …