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.
MIDS Program: 2016 Status Report
When we launched the Master of Information and Data Science (MIDS) program in January of 2014, we knew that we were taking a calculated risk. The data science field was gaining momentum, but there weren’t many established professional data science master’s degree programs in existence. This presented the I School with the opportunity to be one of the first movers in the space and, consequently, carve out a unique role in shaping the future of data science education.
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.
MIDS Spring 2016 Capstone Presentations
On May 2, the spring 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.