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Synthetic Capstone Spotlight: AidSight

The Master of Information and Data Science (MIDS) program at the UC Berkeley School of Information (I School) culminates with a synthetic capstone project. One capstone team consisting of MIDS students Nicholas Hamlin, Natarajan Krishnaswami, Glenn Dunmire, and Minhchau Dang came together to create AidSight. AidSight is a platform that uses modern data science techniques to make the 600,000 aid activities reported to the International Aid Transparency Initiative (IATI) understandable and digestible at a glance. The AidSight team took some time to answer a few questions we had about the impact their platform is having on the global aid and funding community.

MIDS Fall 2016 Capstone Presentations

On December 19th, the fall 2016 datascience@berkeley graduates presented their capstone projects in a public webinar. For the capstone project, the graduates were tasked to solve a real-world situation or problem utilizing their data science skills in communication, problem-solving, influence, and management to provide a fully realized solution.

Performant Deep Learning at Scale with Apache Spark & Apache SystemML

Machine learning continues to deepen its impact with new platforms that enable more efficient and accurate analysis of big data. One such platform is Apache SystemML, which allows for large-scale learning on the underlying Apache Spark platform, while maintaining the simple, modular, high-level mathematics at the core of the field. In a recent webinar, Mike Dusenberry, an engineer at the IBM Spark Technology Center presented the work he and his team are doing to create a deep learning library for SystemML and solve for performant deep learning at scale. Here, we’ll provide the key points that Mike discussed, as well as additional resources for further exploration.

MIDS Summer 2016 Capstone Presentations

On August 25, the summer 2016 datascience@berkeley graduates presented their capstone projects in a public webinar. For the capstone project, the graduates were tasked to solve a real-world situation or problem utilizing their data science skills in communication, problem-solving, influence, and management to provide a fully realized solution.

Your Video Game Is Gaming You – Hunting "Whales"

  

The widespread use of video games on personal mobile devices has fundamentally altered gaming. Hidden under colorful cartoons is often an aggressive sales agent.

MIDS Immersion – May 2016

Immersions offer students enrolled in the Master of Information and Data Science (MIDS) program at the UC Berkeley School of Information an opportunity to experience the Berkeley campus and connect with faculty, staff, and students in person. From May 4–8, in addition to meeting their classmates, students participated in networking events with data science professionals at top organizations during the first immersion of 2016.