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
Hybrid (In-Person)
Remote
Online
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 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 class sessions for each of your In-person or Hybrid (In-person) UNEX courses.  All three in-person class sessions are mandatory and must be attended. Domestic students: are strongly encouraged to attend the three in-person class sessions. If a domestic student is unable to attend an in-person class session, 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 sessions will be identified in your course syllabus.
Prerequisites
COM SCI X 450.1 Introduction to Data Science or consent of instructor.

Summer 2022 Schedule

Date & Time
Details
Format
 
-
Wednesday 6:00PM - 9:00PM PT
Enrollment Closed
See Details
Instructor: Joel Kowalewski
386577
Fee:
$995.00
Hybrid (In-Person)format icon
Location: Remote Classroom
Notes

Enrollment limited. Enrollment deadline: June 28, 2022. Internet access required. Materials required.

This class will be taught in Python.

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 fulltime 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 class sessions for each of your In-person or Hybrid (In-person) UNEX courses.  All three in-person class sessions are mandatory and must be attended.

Domestic students: are strongly encouraged to attend the three in-person class sessions. If a domestic student is unable to attend an in-person class session, 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 sessions will be identified in your course syllabus.

Refund Deadline
No refunds after July 05, 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
Wed Jun 22, 2022
6:00PM PT - 9:00PM PT
Remote Classroom
Discussion
Wed Jun 29, 2022
6:00PM PT - 9:00PM PT
Remote Classroom
Discussion
Wed Jul 6, 2022
6:00PM PT - 9:00PM PT
Remote Classroom
Discussion
Wed Jul 13, 2022
6:00PM PT - 9:00PM PT
Remote Classroom
Discussion
Wed Jul 20, 2022
6:00PM PT - 9:00PM PT
Remote Classroom
Discussion
Wed Jul 27, 2022
6:00PM PT - 9:00PM PT
Remote Classroom
Discussion
Wed Aug 3, 2022
6:00PM PT - 9:00PM PT
Remote Classroom
Discussion
Wed Aug 10, 2022
6:00PM PT - 9:00PM PT
Remote Classroom
Discussion
Wed Aug 17, 2022
6:00PM PT - 9:00PM PT
Remote Classroom
Discussion
Wed Aug 24, 2022
6:00PM PT - 9:00PM PT
Remote Classroom
Discussion
Wed Aug 31, 2022
6:00PM PT - 9:00PM PT
Remote Classroom

Fall 2022 Schedule

Date & Time
Details
Format
 
-
Wednesday 6:00PM - 9:00PM PT
Future Offering (Opens July 25, 2022 12:00:00 AM)
See Details
Instructor: Joel Kowalewski
387930
Fee:
$995.00
Remoteformat icon
Location: Remote Classroom
Notes

Enrollment limited. Enrollment deadline: September 27, 2022. Internet access required. Materials required.

This class will be taught in Python.

Refund Deadline
No refunds after October 04, 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
Wed Sep 21, 2022
6:00PM PT - 9:00PM PT
Remote Classroom
Discussion
Wed Sep 28, 2022
6:00PM PT - 9:00PM PT
Remote Classroom
Discussion
Wed Oct 5, 2022
6:00PM PT - 9:00PM PT
Remote Classroom
Discussion
Wed Oct 12, 2022
6:00PM PT - 9:00PM PT
Remote Classroom
Discussion
Wed Oct 19, 2022
6:00PM PT - 9:00PM PT
Remote Classroom
Discussion
Wed Oct 26, 2022
6:00PM PT - 9:00PM PT
Remote Classroom
Discussion
Wed Nov 2, 2022
6:00PM PT - 9:00PM PT
Remote Classroom
Discussion
Wed Nov 9, 2022
6:00PM PT - 9:00PM PT
Remote Classroom
Discussion
Wed Nov 16, 2022
6:00PM PT - 9:00PM PT
Remote Classroom
Discussion
Wed Nov 23, 2022
6:00PM PT - 9:00PM PT
Remote Classroom
Discussion
Wed Nov 30, 2022
6:00PM PT - 9:00PM PT
Remote Classroom
-
This section has no set meeting times.
Future Offering (Opens July 25, 2022 12:00:00 AM)
See Details
387931
Fee:
$995.00
Onlineformat icon
Notes

Enrollment limited. Enrollment deadline: September 26, 2022. Internet access required. Materials required.

This class will be taught in R.

Refund Deadline
No refunds after September 24, 2022
Course Requirements
Internet access required to retrieve course materials.
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

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This course applies towards the following certificates & specializations…

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