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Georgia Institute of Technology - Machine Learning: Unsupervised Learning 

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Machine Learning: Unsupervised Learning
 at 
UDACITY 
Overview

Duration

1 month

Total fee

Free

Mode of learning

Online

Difficulty level

Intermediate

Official Website

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Credential

Certificate

Machine Learning: Unsupervised Learning
 at 
UDACITY 
Highlights

  • Rich Learning Content
  • Interactive Quizzes
  • Taught by Industry Pros
  • Self-Paced Learning
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Machine Learning: Unsupervised Learning
 at 
UDACITY 
Course details

Skills you will learn
More about this course
  • This class will assume that you have programming experience as you will be expected to work with python libraries such as numpy and scikit. A good grasp of probability and statistics is also required. Udacity's Intro to Statistics , especially Lessons 8, 9 and 10 , may be a useful refresher. An introductory course like Udacity's Introduction to Artificial Intelligence also provides a helpful background for this course.

Machine Learning: Unsupervised Learning
 at 
UDACITY 
Curriculum

Randomized optimization

Clustering

Feature Selection

Feature Transformation

Information Theory

Unsupervised Learning Project

Faculty Icon

Machine Learning: Unsupervised Learning
 at 
UDACITY 
Faculty details

Charles Isbell
Designation : Instructor
Michael Littman
Designation : Instructor
Pushkar Kolhe
Designation : Instructor

Machine Learning: Unsupervised Learning
 at 
UDACITY 
Entry Requirements

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Conditional OfferUp Arrow Icon
  • Not mentioned

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Machine Learning: Unsupervised Learning
 at 
UDACITY 

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