Machine Learning in R with H2O and LIME: slides, photos and video
Hello, everyone! Did you have fun at June 25th’s workshop with H2O and Lime? If you were there, we’re sure you did. If you weren’t… here’s a recap, with the...continue reading.
Hello, everyone! Did you have fun at June 25th’s workshop with H2O and Lime? If you were there, we’re sure you did. If you weren’t… here’s a recap, with the...continue reading.
By Thiago Milagres Preallocating Memory This will be a short post about a simple, but very important concept that can drastically increase the speed of poorly written codes. It is...continue reading.
By Gabriel Vasconcelos and Yuri Fonseca Introduction This is the first of a series of post on the BooST (Boosting Smooth Trees). If you missed the first post introducing the...continue reading.
This is a a step by step guide to perform topic modelling in R language using JSTOR’s data for research (dfr) and visualize it with drf-browser developed by Andrew Goldstone....continue reading.
By Gabriel Vasconcelos and Yuri Fonseca We are happy to introduce our new machine learning method called Boosting Smooth Trees (BooST) (full article here). This model was a joint...continue reading.
The (Artificial Counterfactual) ArCo package is now fully described in a paper in the R Journal (click here). There you can find details about the model, examples and applications on...continue reading.
By Henrique Helfer Hoeltgebaum Introduction I am happy to introduce the package HCmodelSets, which is now available on CRAN. This package implements the methods proposed by Cox, D.R. and Battey,...continue reading.
By Gabriel Vasconcelos In this previous post I discussed some of the parameters we have to tune to estimate a boosting model using the xgboost package. In this post I...continue reading.
Experienced and wannabe speakers; R professionals and enthusiasts; people with good ideas and will to share them: this is who we are looking for. For what? For our Call for...continue reading.
A workshop about Machine Learning in R with H2O and LIME, from experts to R lovers. Very few seats available, register soon! The 25th of June at Mikamai. The post...continue reading.
By Yuri Fonseca Demand models In the previous post about pricing optimization (link here), we discussed a little about linear demand and how to estimate optimal prices in that case....continue reading.
By Gabriel Vasconcelos Before we begin, I would like to thank Anuj for kindly including our blog in his list of the top40 R blogs! Check out the full list...continue reading.
The R-Lab#6 is ready to go, and on the occasion, we’re also discussing the outcomes and contents of the precedent R-Lab, about personalized medicine. The post R-Lab#5: the report &...continue reading.
By Gabriel Vasconcelos Overview There are several ways to do portfolio optimization out there, each with its advantages and disadvantages. We already discussed some techniques here. Today I am going...continue reading.
By Gabriel Vasconcelos When dealing with forecasting models there is an issue that generates a lot of confusion, which is the difference between direct and recursive forecasts. I believe most...continue reading.
Hello R-users, On November 20th we had the pleasure to host the 9th MilanoR meeting in Mikamai! Lots of you participated with passion and enthusiasm and we’re so glad of...continue reading.
MilanoR is a free event, open to all R users and enthusiasts or those who wish to learn more about R. The meeting consists of two talks (this time one...continue reading.
MilanoR Staff is happy to announce the 9th MilanoR Meeting! The meeting will take place on November 20th, from 7pm to about 9:30 pm, in Mikamai (close to the Pasteur...continue reading.
Hello R-users, On June 29th we had the great pleasure to host the RStudio in Milano at Impact Hub. It went absolutely well with great participation, thank you all! This...continue reading.
Great painters can teach us a lot about how to compose a good palet for our plot. That is why we look here at a way to algorithmically derive a...continue reading.