Seminar: Data Mining and Machine Learning with MATLAB (Feb 24)

Key date: Tuesday, February 24, 2015 - 09:00 to 12:00
Location: LIB 244

Please join us for a complimentary MATLAB seminar. Faculty, staff, researchers and students are all welcome to attend. Click here to register.

Overview

Data Mining and Machine Learning with MATLAB

Discovering patterns in large data sets involves methods at the intersection of machine learning, statistics, and database systems. The overall goal is the extraction of patterns and other meaningful information that can be transformed into an understandable structure for future use.

We will demonstrate methods for optimally importing, manipulating, visualizing and mining data sets in MATLAB. We also demonstrate machine learning algorithms for the purpose of building predictive models and discovering useful patterns in observed data.

Highlights include:

  • Importing and working with large data sets
  • Detecting patterns using visualization techniques
  • Gaining insight into your data using descriptive statistics
  • Applying supervised and unsupervised learning algorithms
  • Developing and sharing standalone executables and software components

Parallel Computing with MATLAB

Learn how to solve and accelerate computationally and data-intensive problems using multicore processors and computer clusters.  We will introduce you to high-level programming constructs that allow you to parallelize MATLAB applications and run them on multiple processors.

Highlights include:

  • Toolboxes with built-in support for parallel computing
  • Creating parallel applications to speed up independent tasks
  • Scaling up to computer clusters, grid environments or clouds

Click here to register. For more information contact Tom McHugh at 508-647-7657 or tom.mchugh@mathworks.com

 

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