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
Online
Remote Instruction
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.

Spring 2021 Schedule

Available Format(s):

These courses are fully online and have no regular meeting times.

Future Offering (Opens February 01, 2021 12:00:00 AM)
-
This section has no set meeting times.
378122
Fee:
$995.00
See Details
Notes

Enrollment limited. Enrollment deadline: April 4, 2021. Internet access required. Materials required.

Refund Deadline
No refunds after April 02, 2021
Course Requirements
Internet access required to retrieve course materials.
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

These courses have regular meeting times and are fully online, via remote instruction. Click “See Details” below for more information.

Future Offering (Opens February 01, 2021 12:00:00 AM)
-
Thursday 6:30PM PT - 10:00PM PT
Location: Online
378123
Fee:
$995.00
See Details
Notes

Enrollment limited. Enrollment deadline: April 7, 2021. Internet access required. Materials required.

Refund Deadline
No refunds after April 05, 2021
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
Thu Apr 1, 2021
6:30PM PT - 10:00PM PT
Online
Online
Thu Apr 8, 2021
6:30PM PT - 10:00PM PT
Online
Online
Thu Apr 15, 2021
6:30PM PT - 10:00PM PT
Online
Online
Thu Apr 22, 2021
6:30PM PT - 10:00PM PT
Online
Online
Thu Apr 29, 2021
6:30PM PT - 10:00PM PT
Online
Online
Thu May 6, 2021
6:30PM PT - 10:00PM PT
Online
Online
Thu May 13, 2021
6:30PM PT - 10:00PM PT
Online
Online
Thu May 20, 2021
6:30PM PT - 10:00PM PT
Online
Online
Thu May 27, 2021
6:30PM PT - 10:00PM PT
Online
Online
Thu Jun 3, 2021
6:30PM PT - 10:00PM PT
Online

Available Format(s):

These courses are fully online and have no regular meeting times.

Future Offering (Opens April 26, 2021 12:00:00 AM)
-
This section has no set meeting times.
379640
Fee:
$995.00
See Details
Notes

Enrollment limited. Enrollment deadline: June 27, 2021. Internet access required. Materials required.

Refund Deadline
No refunds after June 25, 2021
Course Requirements
Internet access required to retrieve course materials.
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

These courses have regular meeting times and are fully online, via remote instruction. Click “See Details” below for more information.

Future Offering (Opens April 26, 2021 12:00:00 AM)
-
Thursday 6:30PM PT - 10:00PM PT
Location: Online
379641
Fee:
$995.00
See Details
Notes

Enrollment limited. Enrollment deadline: June 30, 2021. Internet access required. Materials required.

Refund Deadline
No refunds after July 05, 2021
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
Thu Jul 1, 2021
6:30PM PT - 10:00PM PT
Online
Online
Thu Jul 8, 2021
6:30PM PT - 10:00PM PT
Online
Online
Thu Jul 15, 2021
6:30PM PT - 10:00PM PT
Online
Online
Thu Jul 22, 2021
6:30PM PT - 10:00PM PT
Online
Online
Thu Jul 29, 2021
6:30PM PT - 10:00PM PT
Online
Online
Thu Aug 5, 2021
6:30PM PT - 10:00PM PT
Online
Online
Thu Aug 12, 2021
6:30PM PT - 10:00PM PT
Online
Online
Thu Aug 19, 2021
6:30PM PT - 10:00PM PT
Online
Online
Thu Aug 26, 2021
6:30PM PT - 10:00PM PT
Online
Online
Thu Sep 2, 2021
6:30PM PT - 10:00PM PT
Online

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