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 Instruction
Online
Starting at $995.00
As few as 9 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.

Fall 2021 Schedule

Date & Time
Details
Format
 
-
This section has no set meeting times.
Available
See Details
381682
Fee:
$995.00
Onlineformat icon
ENROLL BY: Sep 20, 2021
See Details
Notes

Enrollment limited. Enrollment deadline: September 26, 2021. Internet access required. Materials required.

Refund Deadline
No refunds after September 24, 2021
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
Available
See Details
381668
Fee:
$995.00
Remote Instructionformat icon
Location: Online
ENROLL BY: Sep 23, 2021
See Details
Notes

Enrollment limited. Enrollment deadline: September 29, 2021. Internet access required. Materials required.

Refund Deadline
No refunds after October 06, 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 Sep 23, 2021
6:30PM PT - 10:00PM PT
Online
Online
Thu Sep 30, 2021
6:30PM PT - 10:00PM PT
Online
Online
Thu Oct 7, 2021
6:30PM PT - 10:00PM PT
Online
Online
Thu Oct 14, 2021
6:30PM PT - 10:00PM PT
Online
Online
Thu Oct 21, 2021
6:30PM PT - 10:00PM PT
Online
Online
Thu Oct 28, 2021
6:30PM PT - 10:00PM PT
Online
Online
Thu Nov 4, 2021
6:30PM PT - 10:00PM PT
Online
Online
Thu Nov 11, 2021
6:30PM PT - 10:00PM PT
Online
Online
Thu Nov 18, 2021
6:30PM PT - 10:00PM PT
Online

Winter 2022 Schedule

Date & Time
Details
Format
 
-
This section has no set meeting times.
Future Offering (Opens November 01, 2021 12:00:00 AM)
See Details
383462
Fee:
$995.00
Onlineformat icon
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)
-
Thursday 6:30PM - 10:00PM PT
Future Offering (Opens November 01, 2021 12:00:00 AM)
See Details
383461
Fee:
$995.00
Remote Instructionformat icon
Location: Online
Notes

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

Refund Deadline
No refunds after January 19, 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
Thu Jan 6, 2022
6:30PM PT - 10:00PM PT
Online
Online
Thu Jan 13, 2022
6:30PM PT - 10:00PM PT
Online
Online
Thu Jan 20, 2022
6:30PM PT - 10:00PM PT
Online
Online
Thu Jan 27, 2022
6:30PM PT - 10:00PM PT
Online
Online
Thu Feb 3, 2022
6:30PM PT - 10:00PM PT
Online
Online
Thu Feb 10, 2022
6:30PM PT - 10:00PM PT
Online
Online
Thu Feb 17, 2022
6:30PM PT - 10:00PM PT
Online
Online
Thu Feb 24, 2022
6:30PM PT - 10:00PM PT
Online
Online
Thu Mar 3, 2022
6:30PM PT - 10:00PM PT
Online
Online
Thu Mar 10, 2022
6:30PM PT - 10:00PM PT
Online

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This course applies towards the following certificates & specializations…

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