R

We share our experience working with R to forecast election results. In particular we highlight the importance of following good practices of software development (version control, code review, containers,...), and how we used R with Stan to develop …

We explain the model we used for the 2021 Mexican electoral quick-count. We share the Bayesian workflow we followed for development and the different diagnostics we implemented.

We discuss the challenges on the Mexican Electoral quick-count, and how our team worked to tackle them.

I participated as instructor in the CDSB's 2021 workshop, held remotely.

I share our work in the Mexican electoral quick-count, and why we choose to use R on the different stages of our work.

We discuss the challenges on the Mexican Electoral quick-count, and how our team worked to tackle them.

I delivered an intrductory workshop on geospatial data with R. Focused on creating maps with the packages sf and leaflet.

In this talk, I shared our work on Responsible AI, I explained usual challenges and mistakes in building and applying machine learning methods during the AI life-cycle.

I delivered a two hour workshop for beginners in R. The material covered the basics of data wrangling with the Tidyverse.

I teach a course in Foundations of Statistics for the master program in Data Science at ITAM. Felipe González and I developed the syllabus and we created the class notes along Alfredo Garbuno. [Here](https://tereom.github.io/fundamentos/) is the latest course site and [here](https://github.com/tereom/fundamentos) is the GitHub repository with the class notes.