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Unsupervised Machine Learning by Coursera

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Certification

Unsupervised Machine Learning by Coursera

This course will teach you Unsupervised Learning, one of the most important types in Machine Learning.

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Description

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Careervira Take

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Course Credibility

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Pedagogy

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Hands-on training

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Career impact

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Pricing

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Assessment

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Skills

Unsupervised LearningSupervised LearningData ScienceMachine Learning

Learning Goals

Explain the kinds of problems suitable for Unsupervised Learning approaches
Explain the curse of dimensionality, and how it makes clustering difficult with many features
Describe and use common clustering and dimensionality-reduction algorithms
Try clustering points where appropriate, compare the performance of per-cluster models
Understand metrics relevant for characterizing clusters

Course Content

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Target Audience

This course targets aspiring data scientists interested in acquiring hands-on experience with Unsupervised Machine Learning techniques in a business setting.

Instructors

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Mark J Grover

Digital Content Delivery Lead

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Miguel Maldonado

Machine Learning Curriculum Developer

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Course Overview

Hands-On Training, Instructor-Moderated Discussions

Post course interactions

Case-Based Learning

International faculty

Assessment and Grading

Graded quizzes and assignments

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Course Cover

This course includes

Duration

9 hours
Video Content
9 hours
Level
Intermediate
Instruction Type
Self Paced
Delivery Method
Online
Available on
Desktop, Laptop
Accessibility
Limited Access
Language
English
Subtitles
English
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