Machine Learning and Data Science at Cal

The Spark + AI Summit 2020 is the largest gathering bringing together data teams in the Apache Spark™ community. As described by the Spark + AI Summit host, Databricks, the "s essions, and training will cover data engineering and data science content, along with best practices for productionizing AI — keeping training data fresh with stream processing, quality monitoring, testing, and serving models at a...

Five Principles to get Undergraduates involved in real-world Data Science Projects

This article was written by Jae Yeon Kim, a computational social scientist and PhD candidate in Political Science at UC Berkeley.

UC Berkeley Presents Best Practices on Developing a Data Science Research Institutional Strategy

As the demand for data science research continues to increase, research institutions are taking a closer look at how to create an institutional strategy around data science research. UC Berkeley has been a leader in this area beginning with its Moore-Sloan Data Science Environments project. The Coalition for Networked Information’s spring virtual meeting featured UC Berkeley's Anthony Suen, Data Science Education Program’s Director of Programs...

Berkeley Data Science Celebrates its Second Graduating Class

The UC Berkeley Data Science Class of 2020 has officially graduated! There are so many reasons to be proud of this brilliant, diverse group — 331 students graduated this spring with a degree in Data Science, of which 143 were double majors, and 40% of the graduates were women. The number of women graduating with a Data Science degree continues to increase with each graduating...

Graduate Profile: Using Data Science to Better Understand the Community and the World

Growing up in Los Angeles, Rucha Kelkar initially wanted to attend college out-of-state. She decided on Berkeley for its diversity in technology and computer science opportunities. She initially struggled to select a major, ultimately declaring Data Science with a Cognition emphasis. Data Science allowed Rucha to combine multiple fields as she was interested in the intersections of data science and neuroscience, computer science, and psychology...

Spotlight: Spring 2020 Discovery Projects

Students Michael Huang, Neha Hudait, Alan Liang, Arth Vidyarthi, Adhithya Basker and Lyle Lalunio worked with UCSF to apply deep learning to echocardiograms to detect heart disease.

COVID 19 - Tracking, data privacy, and getting the numbers right

As plans for re-opening businesses, communities, and schools emerge, it becomes increasingly important to better understand how many people are being infected and dying from COVID-19, and where and how the new coronavirus is transmitted. In this conversation led by Nobel Laureate Saul Perlmutter, Director of the Berkeley Institute for Data Science and Professor of Physics, three Berkeley faculty opened different windows onto what we’re...

Berkeley Undergraduates Making Data Science Accessible Across Disciplines

At UC Berkeley, not only are professors advancing the field of data science; undergraduate students also are making an impact in their own right. They are designing data science curriculum, participating in research development, creating course materials with data sets, embedding responsible and ethical principles into data science curriculum, and engaging in research partnerships with entrepreneurs and corporations. The annual Data Science Showcase earlier this...

Rejection Turned Out Great for Berkeley's Top Graduating Senior

Statistics major, citizen scientist, EMT, harpist, and all-around superstar Anna Boser is this year’s winner of the University Medal, UC Berkeley’s highest honor for a graduating senior. Find out why she had planned to go anywhere but Berkeley -- and how she discovered that this was exactly where she needed to be.

Reflecting on Spring 2020

Despite the difficult circumstances, student researchers in the UC Berkeley Data Science Discovery Research Program continue to push forward and work to come up with innovative solutions to the problems and issues they face, both with the situation of the current working environment and with the projects they work on. Members of two such teams, Data for Social Good (Elizabeth Leong, Jessica Rodriguez, Natasha Hellebrandt)...