Praxisbuch Unsupervised Learning : Machine-Learning-Anwendungen für ungelabelte Daten mit Python programmieren / Ankur A. Patel ; deutsche Übersetzung von Frank Langenau

Von:

Patel, Ankur A [VerfasserIn]

Mitwirkende(r):

Langenau, Frank [ÜbersetzerIn]

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Deutsch Originalsprache: Englisch Reihen: AnimalsVerlag: Heidelberg : O'Reilly, 2020Auflage: 1. AuflageBeschreibung: 1 Online-Ressource (XXI, 334 Seiten) ; 24 cm x 16.5 cmISBN:

9783960888765
9783960888772
9783960888789

Einheitssachtitel:

Hands-on unsupervised learning using Python

Schlagwörter:

Andere physische Formen: 9783960091271 | Erscheint auch als: Praxisbuch Unsupervised Learning. Druck-Ausgabe 1. Auflage, deutsche Ausgabe. Heidelberg : O'Reilly, 2020. XXI, 334 SeitenDDC-Klassifikation:

006.31
004

RVK: RVK: ST 300 | ST 250Local classification: Lokale Notation: inf 6.21LOC-Klassifikation:

QA76.73.P98

Online-Ressourcen:

Zusammenfassung: Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to the holy grail in AI research, the so-called general artificial intelligence. Since the majority of the world's data is unlabeled, conventional supervised learning cannot be applied; this is where unsupervised learning comes in. Unsupervised learning can be applied to unlabeled datasets to discover meaningful patterns buried deep in the data, patterns that may be near impossible for humans to uncover. Author Ankur Patel provides practical knowledge on how to apply unsupervised learning using two simple, production-ready Python frameworks - scikit-learn and TensorFlow using Keras. With the hands-on examples and code provided, you will identify difficult-to-find patterns in data and gain deeper business insight, detect anomalies, perform automatic feature engineering and selection, and generate synthetic datasets. All you need is programming and some machine learning experience to get startedPPN: PPN: 1697670210Package identifier: Produktsigel: ZDB-4-NLEBK

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