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Mindmap

Machine learning

Hamish Schroeders Englisch

Inhalt der Mindmap

Machine learning

  1. Deep learning

    • Hidden layers
    • Speach learning
    • Image learning
    • Improved (ANN)
  2. Artificial neural networks

    • Modeled on the human neual network
    • Becoming populer
    • Google voice recognition
    • The more use, the less error
    • Artificial neuron
    • Computers learning from computers
  3. Ethics

    • How far is too far?
      • Take over humans?
    • Jobs
      • Will there be room left for us?
    • Monitoring
  4. Social media

    • Facebook
      • face recognition
    • Google
  5. Types of learning

    • Supervised learning
      • Pre-defined data
        • Limmited by data (more data the better)
    • Unsupervised learning
      • Non-deined data
        • makes it self from nothing
          • Human cant expalin how it was made
    • Reinforcement learning
      • Graded outcomes
        • Human controled learning
  6. Security risk

    • Passwords
    • Private data
    • Companies
  7. Sorting data

    • Emails
    • Flights
      • Time
      • Cost

Informationen

Beschreibung
Mindmap am Machine learning, erstellt von Hamish Schroeders am 18/03/2018.
Erstellt von
Hamish Schroeders · Mär 2018
Aktualisiert
18 Mär 2018
Aufrufe
0
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