This course provides an introduction to NNs and learning with Python. In this workshop, you will learn about Tensorflow programming fundamentals and basic ideas of neural networks through building and […]
Intro to R: In this session, students will be familiarized with R: data types, functions and basic data manipulation including some exploratory data analysis and how to perform statistical tests. […]
This course covers how to best exploit the bash shell for both interactive work and batch jobs, moving & simple manipulation of data, as well very short introductions to programming […]
This course builds on our Introduction to R by teaching advanced visualization and data tidying. In this course, you will cover advanced visualization including ggplot and R Shiny. In addition […]
This workshop aims to introduce both users of scripting languages and advanced programmers to the Julia ecosystem and explore details about the Julia v1.0 language which can help produce efficient […]
In this workshop, you’ll learn basic ideas of neural networks and Tensorflow programming fundamentals through building and training different models. Moreover, you will be introduced to more advanced applications of […]
This course covers how to best exploit the bash shell for both interactive work and batch jobs, moving & simple manipulation of data, as well very short introductions to programming […]
The first part of this workshop will be a review of neural networks in tensorflow and keras. The second part will go into an exciting specific type of neural network […]
This workshop aims at introducing commonly used deep neural networks and their application as deep generative models. We will cover motivating ideas and theory behind various deep generative models such […]
Description This course provides a brief introduction to the fundamentals of the R language and focuses on its use for data analysis–including exploratory data analysis, linear and logistic regression, variable […]