Distributed Model Selection Management Systems / Arun Kumar
Building a machine learning (ML) model for data analytics is seldom a “slam dunk”–it is usually an iterative and exploratory
Read moreBuilding a machine learning (ML) model for data analytics is seldom a “slam dunk”–it is usually an iterative and exploratory
Read moreWhile almost all machine learning (ML) toolkits expect the training data to be in a single table, many real datasets
Read moreToday’s computing systems are designed to deliver only exact solutions at high energy cost, while many of the algorithms that
Read moreResearch in SEELab focuses on various application areas of the Internet of Things (IoT) ecosystem, providing solutions at various levels
Read moreFailures are a fact of life in today’s large-scale, rapid- changing systems in cloud and data centers. To mitigate the
Read moreWeb applications play a crucial role in every aspect of our lives. Despite their importance and ubiquity, they remain notoriously
Read morePh.D. candidate Alan Leung (M.S. ’13) says he likes to create tools that “make it easier to build complex systems reliably.”
Read moreCSE and the Jacobs School of Engineering are celebrating two CSE professors who were awarded endowed chairs in the past
Read moreA partnership between computer scientists in the Center for Networked Systems (CNS) at UC San Diego and Google has allowed
Read moreArun Kumar Works on Advanced Analytics at Intersection of Data Management and Machine Learning On April 3, Computer Science and
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