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Unsupervised Learning

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About this learning path

Unsupervised Learning

Major clustering approaches: partitioning, hierarchical and density-based

It comes from

  • ↑ Machine Learning
  • includes the learning paths

  • - Python (Programming Language)
  • and can be deepened into

  • ↓ Autoencoder
  • Web resources
    Start immediately and learn at your own pace.

    Flexible schedule
    Set and adhere to flexible deadlines.

    Approx. 4 months to complete
    Recommended 12 hours/week

    Mostly English

    Curator

    There is no curator for
    Unsupervised Learning yet!

    This How it Works

    You go station by station. In each station 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.

    Between stations, sometimes there are learning paths. They need to be studied as well as they pose a qualification for upcoming content. After station 1, the learning path for Python (Programming Language) needs to be studied.

    After finishing this learning path, you can specialize further or apply what you learned in another learning path.

    Learning Path

    Station

    1

    »

    Clustering

    »

    Pattern Recognition Field

     

    Machine Learning Clustering

    Station

    2

    »

    K means clustering Method

    »

    Cluster Analysis

    »

    Anomaly detection

    Station

    3

    Station

    4

    »

    Principal component analysis

    »

    Principal component analysis Technique