Machine Learning Using R

COM SCI X 450.4

This course focuses on using the language R for machine learning, which is concerned with algorithms that transform information into actionable intelligence.

READ MORE ABOUT THIS COURSE
Hybrid
Online
Starting at $995.00
As few as 10 weeks
4.0 Credits
3.3 CEUs

What you can learn.

  • Learn how to collect data and explore and prepare the data for the machine learning algorithm
  • Learn how to select the appropriate machine learning algorithm for the data and proposed task
  • Learn how to train a model and evaluate and improve the model performance

About this course:

This course focuses on machine learning, which is concerned with algorithms that transform information into actionable intelligence. This field is made possible due to the rapid and simultaneous evolution of available data, statistical methods and computing power. The machine learning language, R, is a cross-platform, zero-cost statistical programming environment, which offers a powerful but easy-to-learn set of tools that can assist students with finding data insights. Students learn the origins and practical applications of machine learning, how knowledge is defined and represented by computers, and the basic concepts that differentiate machine learning approaches. Machine learning algorithms can be divided into two main groups: supervised learners that are used to construct predictive models, and unsupervised learners that are used to build descriptive models. Students learn the classification, numeric predictor, pattern detection and clustering algorithms. Students learn to train a model, evaluate its performance, and improve its performance. Algorithm uses are illustrated with real-world cases, such as breast cancer diagnosis, spam filtering, identifying bank loan risk, predicting medical expenses, estimating wine quality, identifying groceries frequently purchased together, and finding teen market segments.

Suggested Prerequisites

It is advisable that you complete the following (or equivalent) since they are prerequisites for Machine Learning Using R.

Prior knowledge in R, COM SCI X 450.1 Introduction to Data Science, or consent of instructor.

Winter 2019 Schedule

These courses are fully online, and there are no in-person classroom meetings.

Future Offering (Opens 05 Nov 2018 12:00:00 AM)
-
Instructor: Michael Chang
364908
Fee:
$995.00
See Details
Notes

Enrollment limited. Enrollment deadline: January 16, 2019. Internet access required. Materials required.

Refund Deadline
No refunds after January 23, 2019
Course Requirements
Machine Learning with R - Second Edition by Brett Lantz
(Optional) R for Everyone: Advanced Analytics and Graphics (Addison-Wesley Data and Analytics) by Jared Lander
Internet access required to retrieve course materials.

Hybrid courses utilize a combination of in-person classroom meetings and online meetings.

Future Offering (Opens 05 Nov 2018 12:00:00 AM)
-
Thursday 6:30PM - 10:00PM
Instructor: Michael Chang
364907
Fee:
$995.00
See Details
Notes

Enrollment limited. Enrollment deadline: January 16, 2019. Internet access required. Materials required.

Refund Deadline
No refunds after January 23, 2019
Course Requirements
Machine Learning with R - Second Edition by Brett Lantz
(Optional) R for Everyone: Advanced Analytics and Graphics (Addison-Wesley Data and Analytics) by Jared Lander
Internet access required to retrieve course materials.
Schedule
Type
Date
Time
Location
Computer Lab
Thu Jan 10, 2019
6:30PM - 10:00PM
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 208
Computer Lab
Thu Jan 24, 2019
6:30PM - 10:00PM
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 208
Computer Lab
Thu Feb 7, 2019
6:30PM - 10:00PM
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 208
Computer Lab
Thu Feb 21, 2019
6:30PM - 10:00PM
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 208
Computer Lab
Thu Mar 7, 2019
6:30PM - 10:00PM
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 208

Contact Us

Our team members are here to help. Hours: Mon-Fri, 8am-5pm.

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