An Introduction to Julia
Donald Bren Hall 4011This workshop aims to introduce both users of scripting languages and advanced programmers to the Julia ecosystem and explore details about the Julia language which can help produce efficient and […]
This workshop aims to introduce both users of scripting languages and advanced programmers to the Julia ecosystem and explore details about the Julia language which can help produce efficient and […]
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 […]