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.

Winter 2021 Schedule

Available Format(s):

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

Future Offering (Opens November 02, 2020 12:00:00 AM)
-
This section has no set meeting times.
376565
Fee:
$995.00
See Details
Notes

This section of Machine Learning will be taught using R programming.

Enrollment limited. Enrollment deadline: January 10, 2021. Internet access required. Materials required.

Refund Deadline
No refunds after January 08, 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 November 02, 2020 12:00:00 AM)
-
Thursday 6:30PM PT - 10:00PM PT
Location: Online
376566
Fee:
$995.00
See Details
Notes

This section of Machine Learning will be taught using Python programming.

Enrollment limited. Enrollment deadline: January 13, 2021. Internet access required. Materials required.

Refund Deadline
No refunds after January 20, 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 Jan 7, 2021
6:30PM PT - 10:00PM PT
Online
Online
Thu Jan 14, 2021
6:30PM PT - 10:00PM PT
Online
Online
Thu Jan 21, 2021
6:30PM PT - 10:00PM PT
Online
Online
Thu Jan 28, 2021
6:30PM PT - 10:00PM PT
Online
Online
Thu Feb 4, 2021
6:30PM PT - 10:00PM PT
Online
Online
Thu Feb 11, 2021
6:30PM PT - 10:00PM PT
Online
Online
Thu Feb 18, 2021
6:30PM PT - 10:00PM PT
Online
Online
Thu Feb 25, 2021
6:30PM PT - 10:00PM PT
Online
Online
Thu Mar 4, 2021
6:30PM PT - 10:00PM PT
Online
Online
Thu Mar 11, 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 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)
Future Offering (Opens February 01, 2021 12:00:00 AM)
-
This section has no set meeting times.
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

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