Keynote talk

This year the keynote talk will be by Neoklis Polyzotis.

Title: Scaling Machine Learning to Big Data

Machine learning has become an indispensable component of the "Big Data" ecosystem. However, applying machine-learning algorithms on massive datasets remains a challenge, in part due to the poor support for iteration and recursion in existing frameworks for large-scale data analytics. This talk reviews recent research efforts to overcome this challenge, including our own work that is inspired by principles and techniques from database query processing. Our approach matches or exceeds the performance of specialized tools on actual machine-learning tasks, while providing a general and extensible framework for applying machine learning on large datasets. 

 

Neoklis Polyzotis is an associate professor at UC Santa Cruz. He received his PhD from the University of Wisconsin at Madison in 2003.