Typically we post regarding resources for data science researchers, but in case you stumbled upon this blog and are looking for data science programs to get your degree, we recommend exploring this site: Data Science …
LUCID
Fractions War: Reflections from a non-traditional academic project
By John Vito Binzak For many children and adults, fractions are not a fun math topic. Indeed, multiple studies have shown that learning how to solve problems with fractions and developing an understanding of what …
How Can Machine Learning Improve Educational Technologies?
by Blake Mason, John Vito Binzak, and Fangyun (Olivia) Zhao As computer-based technologies continue to establish a significant presence in modern education, it becomes increasingly important to understand how to improve the ways that these …
Interactive Science Communication
by Scott Sievert and Purav “Jay” Patel Scientific research is still communicated with static text and images despite innovations in learning theories and technology. We are envisioning a future in which interactive simulations and visualizations …
Singular Value Decomposition (SVD)
By Lowell Thompson and Ashley Hou This is a collaborative tutorial aimed at simplifying a common machine learning method known as singular value decomposition. Learn how these techniques impact computational neuroscience research as well! Singular …
LUCIDtalks: Machine Learning with Ayon Sen
As part of our LUCID program, the graduate students meet weekly and discuss topics that are interesting to both the computation and behavioral graduate students. In this video Ayon provides an overview of Machine Learning in …
Apply to LUCID for Fall 2018!
We are currently accepting applications for Fall 2018! Please read at our LUCID overview and diversity statement Details for how to apply to the LUCID program at UW–Madison: 1. Apply to UW-Madison at Graduate School 2. …
Watch Our LUCID Video
Our new LUCID video demonstrates our collaborative learning approach to tackling the real-world projects. This video highlights the LUCID program and focusses on four pedagogical approaches: interdisciplinary groups, practical problems, prof-and-peer mentoring, and science communication.
Finding Meaning in Big Data
Discovery Fellows Rebecca Willett and Rob Nowak are creating algorithms to make sense of big data and help machines learn.
How New Yorker Cartoons Could Teach Computers To Be Funny
“The computer models Nowak and his team are developing are called adaptive crowdsourcing algorithms. They attempt to weed out the weakest captions as quickly as possible to get more people to vote on the potential …