Posts

JupyterLab can be viewed as the evolution of the Jupyter Notebooks, an open-source web application that allows combining interactive …
5 min read JupyterLab Source

In this session we will learn how to model and solve optimization problems of different types (linear, nonlinear, continuous and/or …
10 min read AMPL Source

Stan is a probabilistic programming language for specifying statistical models. Stan provides full Bayesian inference for …
15 min read R, Stan Source

The aim of this tutorial is to show the use of TensorFlow with KERAS for classification and prediction in Time Series Analysis. The …
14 min read R, Keras Source

In this session I will try to show some utilities present in the web. One of them will help us to execute R code from the web, using an …
5 min read R, GeoGebra, PSPP, RawGraphs Source

This is our second session introducing Shiny, an R package that allows to develop interactive Apps in a familiar framework for regular …
14 min read R Source

The main goal of this session is to show how researchers can use a system control version like Git through GitHub in order to improve …
6 min read Git Source

Tensorflow has been widely used for many applications in machine learning and deep learning. However, Tensorflow is more than that, it …
9 min read R Source

The main goal of this session is to show a regular R user how to develop his/her own interactive (web) application without much effort. …
19 min read R Source

In this session we will learn how to take advantage of a multi-core PC through the use of parallel computing in Julia. It is worth to …
25 min read Julia Source