Inhalt - Praxiseinstieg Machine Learning mit Scikit-Learn, Keras und TensorFlow, 3rd Edition [Book]

Skip to main content

Get full access to Praxiseinstieg Machine Learning mit Scikit-Learn, Keras und TensorFlow, 3rd Edition and 60K+ other titles, with a free 10-day trial of O'Reilly.

There are also live events, courses curated by job role, and more.

Start your free trial

Inhalt

Teil IDie Grundlagen des Machine Learning

1Die Machine-Learning-Umgebung

Was ist Machine Learning?

Warum wird Machine Learning verwendet?

Anwendungsbeispiel

Unterschiedliche Machine-Learning-Systeme

Trainingsüberwachung

Batch- und Online-Learning

Instanzbasiertes versus modellbasiertes Lernen

Die wichtigsten Herausforderungen beim Machine Learning

Unzureichende Menge an Trainingsdaten

Nicht repräsentative Trainingsdaten

Minderwertige Daten

Irrelevante Merkmale

Overfitting der Trainingsdaten

Underfitting der Trainingsdaten

Zusammenfassung

Testen und Validieren

Hyperparameter anpassen und Modellauswahl

Datendiskrepanz

2Ein Machine-Learning-Projekt von A bis Z

Der Umgang mit realen Daten

Betrachte das Gesamtbild

Die Aufgabe ...

Get Praxiseinstieg Machine Learning mit Scikit-Learn, Keras und TensorFlow, 3rd Edition now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.

Start your free trial

Don’t leave empty-handed

Get Mark Richards’s Software Architecture Patterns ebook to better understand how to design components—and how they should interact.

It’s yours, free.

Get it now

Cover of Software Architecture Patterns

Check it out now on O’Reilly

Dive in for free with a 10-day trial of the O’Reilly learning platform—then explore all the other resources our members count on to build skills and solve problems every day.

Start your free trial Become a member now