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Praxiseinstieg Machine Learning mit Scikit-Learn, Keras und TensorFlow, 2nd Edition
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Praxiseinstieg Machine Learning mit Scikit-Learn, Keras und TensorFlow, 2nd Edition

by Aurélien Géron
July 2020
Intermediate to advanced
852 pages
25h 44m
German
dpunkt
Content preview from Praxiseinstieg Machine Learning mit Scikit-Learn, Keras und TensorFlow, 2nd Edition

KAPITEL 2

Ein Machine-Learning-Projekt von A bis Z

In diesem Kapitel werden Sie ein Beispielprojekt vom Anfang bis zum Ende durchleben. Wir nehmen dazu an, Sie seien ein frisch angeheuerter Data Scientist in einer Immobilienfirma.1 Dies sind die wichtigsten Schritte, die es zu bearbeiten gilt:

  1. Betrachte das Gesamtbild.
  2. Beschaffe die Daten.
  3. Erkunde und visualisiere die Daten, um daraus Erkenntnisse zu gewinnen.
  4. Bereite die Daten für Machine-Learning-Algorithmen vor.
  5. Wähle ein Modell aus und trainiere es.
  6. Verfeinere das Modell.
  7. Präsentiere die Lösung.
  8. Nimm das System in Betrieb, beobachte und warte es.

Der Umgang mit realen Daten

Wenn Sie Machine Learning gerade erst erlernen, experimentieren Sie am besten mit realen Daten, nicht mit künstlich ...

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Publisher Resources

ISBN: 9781098124588