MLE4: Unsupervised Learning

In this course, instructor Asha Saxena explores unsupervised learning in detail. She covers dimensionality reduction, feature selection and extraction, PCA, clustering, Hartigan-Wong algorithms, cluster validation, Gaussian mixture models, rules in data mining, and much more.

In this course, instructor Asha Saxena explores unsupervised learning in detail. She covers dimensionality reduction, feature selection and extraction, PCA, clustering, Hartigan-Wong algorithms, cluster validation, Gaussian mixture models, rules in data mining, and much more.

Purpose

To gain a deeper understanding of the usage of the many components and variables involved in unsupervised learning.

Outcome

Understand unsupervised learning and how it is used
Explore the many different types of unsupervised learning components

This Course Includes:

A 53-minute educational training video
A 16-question exam
Self-paced and on-demand e-learning
Unlimited course access
Course CEUs: 1

Individual Course Price: $99
Learning Plan Price: $499
Learning Plan CEUs: 6

We offer several bulk licensing options for corporate and group use.

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$99.00

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MLE4: Unsupervised Learning

In this course, instructor Asha Saxena explores unsupervised learning in detail. She covers dimensionality reduction, feature selection and extraction, PCA, clustering, Hartigan-Wong algorithms, cluster validation, Gaussian mixture models, rules in data mining, and much more.

ENROLL TODAY

$99.00

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