Machine Learning

COM SCI X 450.4

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

READ MORE ABOUT THIS COURSE
Fall
Winter
Spring
Summer
Remote
Online
In-Person
Starting at $995.00
As few as 10 weeks
4.0
3.3

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. 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. 
Prerequisites
COM SCI X 450.1 Introduction to Data Science, or consent of instructor.

Winter 2022 Schedule

Date & Time
Details
Format
 
-
This section has no set meeting times.
Available
See Details
383462
Fee:
$995.00
Onlineformat icon
ENROLL BY: Jan 3, 2022
See Details
Notes

Enrollment limited. Enrollment deadline: January 9, 2022. Internet access required. Materials required.

Refund Deadline
No refunds after January 07, 2022
Course Requirements
Internet access required to retrieve course materials.
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
-
Wednesday 6:00PM - 9:00PM PT
Available
See Details
383461
Fee:
$995.00
Remoteformat icon
Location: Online
ENROLL BY: Jan 5, 2022
See Details
Notes

Enrollment limited. Enrollment deadline: January 12, 2022. Internet access required. Materials required.

Refund Deadline
No refunds after January 18, 2022
Course Requirements
Internet access required to retrieve course materials.
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems by Aurélien Géron
Schedule
Type
Date
Time
Location
Online
Wed Jan 5, 2022
6:00PM PT - 9:00PM PT
Online
Online
Wed Jan 12, 2022
6:00PM PT - 9:00PM PT
Online
Online
Wed Jan 19, 2022
6:00PM PT - 9:00PM PT
Online
Online
Wed Jan 26, 2022
6:00PM PT - 9:00PM PT
Online
Online
Wed Feb 2, 2022
6:00PM PT - 9:00PM PT
Online
Online
Wed Feb 9, 2022
6:00PM PT - 9:00PM PT
Online
Online
Wed Feb 16, 2022
6:00PM PT - 9:00PM PT
Online
Online
Wed Feb 23, 2022
6:00PM PT - 9:00PM PT
Online
Online
Wed Mar 2, 2022
6:00PM PT - 9:00PM PT
Online
Online
Wed Mar 9, 2022
6:00PM PT - 9:00PM PT
Online
Online
Wed Mar 16, 2022
6:00PM PT - 9:00PM PT
Online

Spring 2022 Schedule

Date & Time
Details
Format
 
-
This section has no set meeting times.
Future Offering (Opens January 31, 2022 12:00:00 AM)
See Details
384981
Fee:
$995.00
Onlineformat icon
Notes

Enrollment limited. Enrollment deadline: April 3, 2022. Internet access required. Materials required.

Refund Deadline
No refunds after April 01, 2022
Course Requirements
Internet access required to retrieve course materials.
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
-
Thursday 6:30PM - 10:00PM PT
Future Offering (Opens January 31, 2022 12:00:00 AM)
See Details
384980
Fee:
$995.00
In-Personformat icon
Location: UCLA Extension Lindbrook Center in Westwood
Notes

Enrollment limited. Enrollment deadline: April 6, 2022. Internet access required. Materials required.

Refund Deadline
No refunds after April 13, 2022
Course Requirements
Internet access required to retrieve course materials.
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems by Aurélien Géron
Schedule
Type
Date
Time
Location
Discussion
Thu Mar 31, 2022
6:30PM PT - 10:00PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 203
Discussion
Thu Apr 7, 2022
6:30PM PT - 10:00PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 203
Discussion
Thu Apr 14, 2022
6:30PM PT - 10:00PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 203
Discussion
Thu Apr 21, 2022
6:30PM PT - 10:00PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 203
Discussion
Thu Apr 28, 2022
6:30PM PT - 10:00PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 203
Discussion
Thu May 5, 2022
6:30PM PT - 10:00PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 203
Discussion
Thu May 12, 2022
6:30PM PT - 10:00PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 203
Discussion
Thu May 19, 2022
6:30PM PT - 10:00PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 203
Discussion
Thu May 26, 2022
6:30PM PT - 10:00PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 203
Discussion
Thu Jun 2, 2022
6:30PM PT - 10:00PM PT
UCLA Extension Lindbrook Center in Westwood
UCLA Extension Lindbrook Center 203

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This course applies towards the following certificates & specializations…

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