# Upcoming Events

*Princeton University is actively monitoring the situation around coronavirus (COVID-19) and the evolving guidance from government and health authorities. The latest guidance for Princeton members and visitors is available on the University’s Emergency Management website. *

No upcoming events found.

## Events Archive

### Optimization Inspired Deep Architectures for Multiview 3D

### Fundamentals of Deep Learning (NVIDIA), Research Computing Bootcamp

### GPU HPC Bootcamp (NVIDIA), Research Computing Bootcamp

Full event details and registration link here.

This day-long workshop will teach participants the basics of GPU programming through extensive hands-on collaboration based on real-life codes using the OpenACC programming model.

### Data Visualization in R, using ggplot2 with Daisy Huang, Research Computing Bootcamp

### Introduction to NumPy with Vineet Bansal, Research Computing Bootcamp

### Reproducible Research Reports with R Markdown with Daisy Huang, Research Computing Bootcamp

### Intro to Data Analysis Using R w/ Brian Arnold & Andrzej Zuranski (Schmidt DataX), Research Computing Bootcamp

### Research Computing Bootcamp, Jan. 19-29, 2021, Registration Now Open

The Princeton Institute for Computational Science & Engineering (PICSciE) and OIT Research Computing , along with the Center for Statistics and Machine Learning(link is external), are announcing a...

### Deep Networks from First Principles

### Breaking the Sample Size Barrier in Statistical Inference and Reinforcement Learning

A proliferation of emerging data science applications require efficient extraction of information from complex data. The unprecedented scale of relevant features, however, often overwhelms the volume of available samples, which dramatically complicates statistical inference and decision making.