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Unsupervised Learning

curated by Camillo

23 people already started

About this learning path

Unsupervised Learning

Unsupervised learning means learning (important aspects of) an unknown distribution based on sample data. This includes finding new representations of data that foster learning, generalization, and communication.

Unsupervised Learning comes from the learning path of Machine Learning .


Web resources
Start immediately and learn at your own pace.

Flexible schedule
Set and adhere to flexible deadlines.

Approx. 3 months to complete
Recommended 12 hours/week

Mostly English

Curator

Camillo Rohe curates
Unsupervised Learning

This How it Works

You work from module to module. In each module you'll find resources containing:

1. Information

2. Educational content

3. Places to exchange infos

4. Applications, Tools

( 5. Entertaining content )

After studying a resource, you check it.

Learning Path

Module

1

»

Clustering

»

Cluster Analysis

Module

2

 

K means clustering Method

 

Machine Learning Clustering

Module

3

»

Anomaly detection

»

Principal component analysis Technique

Module

4

 

Nonnegative matrix factorization Algorithms

 

Deep Unsupervised Learning Lecture Series