November 2020

Using RStudio with Github Classroom

November 30, 2020 | R Bloggers on Francisco Bischoff

In March, 12th, Github has launched the Github Classroom platform. TL; DR, you can continue. For the long story, click here. Classroom For those that want to know more about the capabilities of Github Classroom, I recommend you start here. Using RStudio Why do we need this tutorial? Well, Github ... [Read more...]

Bernoulli factory in the Riddler

November 30, 2020 | xi'an

“Mathematician John von Neumann is credited with figuring out how to take a p biased coin and “simulate” a fair coin. Simply flip the coin twice. If it comes up heads both times or tails both times, then flip it twice again. Eventually, you’ll get two different flips — either ...
[Read more...]

Trees and forests

November 30, 2020 | arthur charpentier

For my ACT6100 weekly quiz, I usually generate some datasets, and then ask students to compare various predictive algorithms. Last week, it was about classification trees and random forests. And students were surprised to have such differences (they had to estimate the probability to have a specific label, for the ...
[Read more...]

Version 0.10.1 of NIMBLE released

November 30, 2020 | Chris Paciorek

We’ve released the newest version of NIMBLE on CRAN and on our website. NIMBLE is a system for building and sharing analysis methods for statistical models, especially for hierarchical models and computationally-intensive methods (such as MCMC and SMC). We’ve released version 0.10.1.  Version 0.10.1 is primarily a bug fix release: –  ...
[Read more...]

Corporate identity graphics in R

November 30, 2020 | Rbloggers – The Analytics Lab

This blog is about getting corporate identity graphics ready in R using ggplot. Many corporates have decent identity Powerpoint decks and Excel templates available to work with, they might even have developed a PowerBI/Tableau template to fit their corporate identity. Yet, identity templates for R (or other languages used) ... [Read more...]

Corporate identity graphics in R

November 30, 2020 | Wouter Van Gils

This blog is about getting corporate identity graphics ready in R using ggplot. Many corporates have decent identity Powerpoint decks and Excel templates available to work with, they might even have developed a PowerBI/Tableau...
[Read more...]

Brain image segmentation with torch

November 29, 2020 | Sigrid Keydana

When what is not enough True, sometimes it’s vital to distinguish between different kinds of objects. Is that a car speeding towards me, in which case I’d better jump out of the way? Or is it a huge Doberman (in which case I’d probably do the same)?...
[Read more...]

Surge: Data Labeling You Can Trust

November 29, 2020 | Edwin Chen

tl;dr I started Surge earlier this year to fix the problems I've always encountered with getting high-quality, human-labeled data at scale. Think MTurk 2.0—but with an obsessive focus on quality and speed, and an elite workforce you can trust. If you'v... [Read more...]

Using LaTeX in R/exams: What, Why, How?

November 29, 2020 | R/exams

LaTeX is a document prepration system that is very powerful but can sometimes also be a bit confusing. Hence, some useful details are provided that should help R/exams users getting LaTeX installed and used effectively for preparing exams. ... [Read more...]

R XGBoost Regression

November 29, 2020 | Ian Johnson

In the previous posts, I used popular machine learning algorithms to fit models to best predict MPG using the cars_19 dataset.  It was discovered that support vector machine produced the lowest RMSE.  In this post I am going to use XGBoost to...
[Read more...]

R XGBoost Regression

November 29, 2020 | Ian Johnson

In the previous posts, I used popular machine learning algorithms to fit models to best predict MPG using the cars_19 dataset.  It was discovered that support vector machine produced the lowest RMSE.  In this post I am going to use XGBoost to...
[Read more...]
1 2 3 14

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)