Large Scale Data Mining: Models and Algorithms

EC ENGR XLC 219

This course is part of the UCLA Henry Samueli School of Engineering and Applied Science (HSSEAS) Master of Science in Engineering Online (MSOL) program.  It is available only to students pre-approved by HSSEAS.  See below for more information.

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Online
Starting at $4,500.00
As few as 11 weeks
4.0

About this course:

EC ENGR 219. Large-Scale Data Mining: Models and Algorithms. (Instructor: Roychowdhury, V.) Lecture, four hours; discussion, one hour; outside study, seven hours. Introduction of variety of scalable data modeling tools, both predictive and causal, from different disciplines. Topics include supervised and unsupervised data modeling tools from machine learning, such as support vector machines, different regression engines, different types of regularization and kernel techniques, deep learning, and Bayesian graphical models. Emphasis on techniques to evaluate relative performance of different methods and their applicability. Includes computer projects that explore entire data analysis and modeling cycle: collecting and cleaning large-scale data, deriving predictive and causal models, and evaluating performance of different models.

Spring 2022 Schedule

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387484
Fee:
$4,500.00
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Notes

Restricted course.
1. Please contact the Master of Science Online (MSOL) program at admissions@seas.ucla.edu or (310) 825-6542 for approval.  
2. Once approved, you may submit a petition to enroll (PTE) request through this website. Click "add to cart" to apply for enrollment.

Refund Deadline
No refunds after April 08, 2022

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