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
In-Person
Online
Starting at $995.00
As few as 10 weeks
4.0

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 who are used to construct predictive models and unsupervised learners who 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.  International students: Due to recent changes in SEVIS requirements for F-1 visa holders, international students must be enrolled in 12 units to be a full-time student. Of those 12 units, two courses must be In-person or Hybrid (In-person). To remain in status for your F-1 visa you must attend three in-person classes for each of your In-person or Hybrid (In-person) UNEX courses. All three in-person classes are mandatory and must be attended. Domestic students are strongly encouraged to attend the three in-person classes. If a domestic student is unable to attend an in-person class, they must notify their program advisor/representative to ask for alternative arrangements that will allow them to complete the coursework requirements for these three sessions. The dates of these classes will be identified in your course syllabus.
Prerequisites
COM SCI X 450.1 Introduction to Data Science or consent of instructor.

Winter 2023 Schedule

Date & Time
Details
Format
 
-
This section has no set meeting times.
Available
See Details
Instructor: Joel Kowalewski
389156
Fee:
$995.00
Onlineformat icon
ENROLL BY: Jan 10, 2023
See Details
Notes

Enrollment limited. Enrollment deadline: January 16, 2023. Internet access required. Materials required.

Refund Deadline
No refunds after January 14, 2023
Course Requirements
Internet access required to retrieve course materials.
-
Monday 6:30PM - 9:30PM PT
Available
See Details
389155
Fee:
$995.00
In-Personformat icon
Location: UCLA
ENROLL BY: Jan 9, 2023
See Details
Notes

Enrollment limited. Enrollment deadline: January 17, 2023. Internet access required. Materials required.

Refund Deadline
No refunds after January 22, 2023
Course Requirements
Internet access required to retrieve course materials.
Schedule
Type
Date
Time
Location
Discussion
Mon Jan 9, 2023
6:30PM PT - 9:30PM PT
UCLA
Rolfe Hall 3121
Discussion
Mon Jan 16, 2023
6:30PM PT - 9:30PM PT
UCLA
Rolfe Hall 3121
Discussion
Mon Jan 23, 2023
6:30PM PT - 9:30PM PT
UCLA
Rolfe Hall 3121
Discussion
Mon Jan 30, 2023
6:30PM PT - 9:30PM PT
UCLA
Rolfe Hall 3121
Discussion
Mon Feb 6, 2023
6:30PM PT - 9:30PM PT
UCLA
Rolfe Hall 3121
Discussion
Mon Feb 13, 2023
6:30PM PT - 9:30PM PT
UCLA
Rolfe Hall 3121
Discussion
Mon Feb 20, 2023
6:30PM PT - 9:30PM PT
UCLA
Rolfe Hall 3121
Discussion
Mon Feb 27, 2023
6:30PM PT - 9:30PM PT
UCLA
Rolfe Hall 3121
Discussion
Mon Mar 6, 2023
6:30PM PT - 9:30PM PT
UCLA
Rolfe Hall 3121
Discussion
Mon Mar 13, 2023
6:30PM PT - 9:30PM PT
UCLA
Rolfe Hall 3121
Discussion
Mon Mar 20, 2023
6:30PM PT - 9:30PM PT
UCLA
Rolfe Hall 3121

Contact Us

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

This course applies towards the following certificates & specializations…

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