Machine learning projects are a beautiful medley of the code used to build models and the data used to train them. ML models are complex beasts that change through a myriad of methods from the datasets used and the way they’re transformed to the changing of the code itself. ...

Data Visualization with R, In this tutorial, we will describe how to create a scatter plot in the R programming language. “ggplot2” is a fantastic package for making visually appealing data displays. If you... The post Data Visualization with R-Scatter plots appeared first on finnstats.

FairPAN — bringing fairness to neural networksMotivationWith the ongoing development of XAI methods, we — data scientists have to take more and more responsibility for the behaviour of our models. It means that we should no longer care only about what ...

Introduction “There is no unique definition of a square root of a matrix. While there are a few ways to calculate it in closed form, the results differ”. It was from these notes that I read in my multivariate statistics class that inspired me to explore the the geometric interpretations ...

We are conducting another survey to see where u...

People have been telling me not to teach caret anymore, albeit I do teach TidyModels as well. Their argument is that TidyModels is new and shiny and we should be using the most up to date tools. I get this justification, but is caret really dead? My answer is “not ...

Deep Belief Networks (DBN) and Autoencoders, Let’s take a look at DBNs and how they are created on top of RBMs. If you haven’t read the previous posts yet, you can read them by clicking the below links. Introduction to Machine Learning wit...

Rendering PDFs with rmarkdown requires a working LaTeX installation, such as tinytex. Occasionally, existing workflows break with the newest version of LaTeX. This post describes how to run an older LaTeX version for just a little while.

The Agile By Example conference is coming soon! Next week in October (11-13) will be the biggest Agile conference in Poland. To be agile in R is to be effective at software development. But there’s no one-size-fits-all recipe here because being Agile means focusing on the people in your ...

Become professional at data analysis with tidyverse in R on October 27th! Learn how to extract, manipulate and explore your data with readable, streamlined and professional code using best-practices from the tidyverse universe, such as those include...

Next is my short and sweet newsletter about a curated collection of R-related works. It is posted at 9:30 AM (Eastern Time) every Wednesday. The content is pretty straightforward. Five stories. Four packages. Three jargons. Two tweets. One meme. ...

Intro Early last year I posted on my blog an attempt to recreate a Yahoo Finance graphic. Now, thanks to the work of Dr Paul Murrell on the grid and gggrid packages, I have the tools to polish this one off. Reference Article Here is a streamlined ...

Sometimes you need to have a message delivered immediately. Other times it doesn’t matter when it’s delivered. Similarly, you might want the recipient to read a message right now! Or you may not really care when they read it. To address both of these scenarios I have added ...

The paired sample t-test, sometimes called the dependent sample t-test, is a statistical procedure used to determine whether the mean difference between two sets of observations is zero. In a paired sample t-test, each subject or entity is measured twice, resulting… The post Paired sample t-test using R appeared first ...

The one-way analysis of variance (ANOVA) is used to determine whether there are any statistically significant differences between the means of three or more independent (unrelated) groups. This guide will provide a brief introduction to the one-way ANOVA, including the… The post One-Way ANOVA using R appeared first on Statistical ...