Abstract Details
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Activity Number:
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60
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Type:
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Topic Contributed
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Date/Time:
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Sunday, August 3, 2014 : 4:00 PM to 5:50 PM
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Sponsor:
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Section on Statistical Computing
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Abstract #313062
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Title:
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Tackling Big Data with MATLAB
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Author(s):
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Ameya Deoras*+
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Companies:
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MathWorks
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Keywords:
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big data ;
machine learning ;
programming ;
MATLAB ;
MathWorks
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Abstract:
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Are the datasets you need to analyze becoming uncomfortably large to work with in memory, taking too long to compute, or streaming too fast to process in real time? Are you finding it challenging to scale machine learning and other sophisticated analytics to large datasets? In the era of Big Data, users experienced with multiple tools to tackle these challenges will be a step ahead. This paper will cover best practices for analyzing big data using techniques for system memory optimization, task parallel speedup, data parallel machine learning, and stream processing. Using MATLAB examples we will also show how to access and analyze data stored in data warehouses and Big Data frameworks such as NoSQL and Hadoop
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Authors who are presenting talks have a * after their name.
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