Seminar: Data Mining and Machine Learning with MATLAB (Feb 24)
Please join us for a complimentary MATLAB seminar. Faculty, staff, researchers and students are all welcome to attend. Click here to register.
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.
- 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.
- 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
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