January 2018

tidytext 0.1.6

January 9, 2018 | Rstats on Julia Silge

I am pleased to announce that tidytext 0.1.6 is now on CRAN! Most of this release, as well as the 0.1.5 release which I did not blog about, was for maintenance, updates to align with API changes from tidytext’s dependencies, and bugs. I just spent a good chunk of effort getting ...
[Read more...]

Stepwise Bayesian Optimization with mlrMBO

January 9, 2018 | Jakob Richter

With the release of the new version of mlrMBO we added some minor fixes and added a practical feature called Human-in-the-loop MBO. It enables you to sequentially visualize the state of the surrogate model, obtain the suggested parameter configuration for the next iteration and update the surrogate model with arbitrary ...
[Read more...]

rquery: Fast Data Manipulation in R

January 9, 2018 | John Mount

Win-Vector LLC recently announced the rquery R package, an operator based query generator. In this note I want to share some exciting and favorable initial rquery benchmark timings. Let’s take a look at rquery’s new “ad hoc” mode (made convenient through wrapr‘s new “wrapr_applicable” feature). This ...
[Read more...]

In case you missed it: December 2017 roundup

January 9, 2018 | David Smith

In case you missed them, here are some articles from December of particular interest to R users. Hadley Wickham's Shiny app for making eggnog. Using R to analyze the vocal range of pop singers. A video tour of the data.table package from its creator, Matt Dowle. The European R ... [Read more...]

R/Finance 2018: Call for Papers

January 9, 2018 | Joshua Ulrich

R/Finance 2018: Applied Finance with R June 1 and 2, 2018 University of Illinois at Chicago Call For Papers The tenth annual R/Finance conference for applied finance using R will be held June 1 and 2, 2018 in Chicago, IL, USA at the University of Illinois at Chicago. The conference will cover topics including portfolio ... [Read more...]

Building a neural network from scratch in R

January 9, 2018 | David Selby

Neural networks can seem like a bit of a black box. But in some ways, a neural network is little more than several logistic regression models chained together. In this post I will show you how to derive a neural network from scratch with just a few lines in R. ... [Read more...]
1 11 12 13 14 15 17

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)