Praxiseinstieg Machine Learning mit Scikit-Learn, Keras und TensorFlow : Konzepte, Tools und Techniken für intelligente Systeme
Language: German
Published by Dpunkt.Verlag Sep 2023, 2023
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
US$ 65.79
Quantity: 2 available
Add to basketItem description from seller
Neuware - Behandelt jetzt viele neue Features von Scikit-Learn sowie die Keras-Tuner-Bibliothek und die NLP-Bibliothek Transformers von Hugging Face Führt Sie methodisch geschickt in die Basics des Machine Learning mit Scikit-Learn ein und vermittelt darauf aufbauend Deep-Learning-Techniken mit Keras und TensorFlow Mit zahlreiche Übungen und Lösungen Maschinelles Lernen und insbesondere Deep Learning haben in den letzten Jahren eindrucksvolle Durchbrüche erlebt. Inzwischen können sogar Programmierer, die kaum etwas über diese Technologie wissen, mit einfachen, effizienten Werkzeugen Machine-Learning-Programme implementieren. Dieses Standardwerk verwendet konkrete Beispiele, ein Minimum an Theorie und unmittelbar einsetzbare Python-Frameworks (Scikit-Learn, Keras und TensorFlow), um Ihnen ein intuitives Verständnis der Konzepte und Tools für das Entwickeln intelligenter Systeme zu vermitteln. In dieser aktualisierten 3. Auflage behandelt Aurélien Géron eine große Bandbreite von Techniken: von der einfachen linearen Regression bis hin zu Deep Neural Networks. Zahlreiche Codebeispiele und Übungen helfen Ihnen, das Gelernte praktisch umzusetzen. Sie benötigen lediglich etwas Programmiererfahrung, um direkt zu starten. Lernen Sie die Grundlagen des Machine Learning anhand eines umfangreichen Beispielprojekts mit Scikit-Learn Erkunden Sie zahlreiche Modelle, einschließlich Support Vector Machines, Entscheidungsbäume, Random Forests und Ensemble-Methoden Nutzen Sie unüberwachtes Lernen wie Dimensionsreduktion, Clustering und Anomalieerkennung Erstellen Sie neuronale Netzarchitekturen wie Convolutional Neural Networks, Recurrent Neural Networks, Generative Adversarial Networks, Autoencoder, Diffusionsmodelle und Transformer Verwenden Sie TensorFlow und Keras zum Erstellen und Trainieren neuronaler Netze für Computer Vision, Natural Language Processing, Deep Reinforcement Learning und generative Modelle.…
Seller Inventory # 9783960092124
Bibliographic details
- Title
- Praxiseinstieg Machine Learning mit Scikit-Learn, Keras und TensorFlow : Konzepte, Tools und Techniken für intelligente Systeme
- Author
- Aurélien Géron
- Publisher
- Dpunkt.Verlag Sep 2023
- Publication year
- 2023
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- German
- ISBN 10
- 3960092121
- ISBN 13
- 9783960092124
- Item weight
- 1,408 grams
- Dimensions
- 239x163x44 mm
Shipping rates from Germany to U.S.A.
| Item | 30 to 40 business days | 7 to 14 business days |
|---|---|---|
| First item | US$ 77.99 | US$ 89.63 |
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