San Francisco, California
London, United Kingdom
MEMBER WORKSHOP: BIG DATA ANALYTICS
Date: March 26, 2014
MIT, 32 Vassar Street, Cambridge, MA. 1st Floor 32-155
Regarding reigstration and attendance: please contact Susana Kevorkova email@example.com.
Extracting useful information from very large data sets is challenging. In this workshop, we will focus on the challenges of applying machine learning, data mining, and statistics to massive-scale data sets.
Examples of topics for discussion include:
• Developing approximations when algorithms don’t scale using sampling, sketching, and other techniques;
• Developing summarization and explanation techniques that show patterns in data in an intuitive and useful way;
• Evaluating the quality of these methods on new data sets; and
• Integrating massive amounts of unstructured text from social media sites, scientific documents, industrial reports, websites, and other sources.
Given the current speed at which these large data sets are generated, there is a pressing need for solutions to these challenges; we will discuss applications and related challenges in data mining and machine learning on Big Data and explore potential solutions.
This workshop is part of a series focusing on major challenges when it comes to Big Data as part of the MIT Big Data Initiative at CSAIL. http://bigdata.csail.mit.edu/ These workshops bring together a select group of thought leaders, from industry, academia and government, to focus on the future of Big Data.
Prof. Cynthia Rudin, MIT Sloan
Prof. Sam Madden, MIT CSAIL
Elizabeth Bruce, MIT CSAIL
A block of rooms at a special rate is being held at The Kendall Hotel, which is a block from the Stata Center at MIT. You can make a reservation using the link below, (with the code BD14), or you can call the hotel directly.
The Kendall Hotel
350 Main Street
Cambridge, MA 02142