Machine Learning mit Python und Keras, TensorFlow 2 und Scikit-learn Das umfassende Praxis-Handbuch f?r Data Science, Deep Learning und Predictive Analytics
Language: German
Published by MITP Verlags GmbH, 2021
- Softcover
- New
Condition: New
£ 17.21
Quantity: 3 available
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- Datenanalyse mit ausgereiften statistischen Modellen des Machine Learnings- Anwendung der wichtigsten Algorithmen und Python-Bibliotheken wie NumPy, SciPy, Scikit-learn, Keras, TensorFlow 2, Pandas und Matplotlib- Best Practices zur Optimierung Ihrer Machine-Learning-AlgorithmenMit diesem Buch erhalten Sie eine umfassende Einf?hrung in die Grundlagen und den effektiven Einsatz von Machine-Learning- und Deep-Learning-Algorithmen und wenden diese anhand zahlreicher Beispiele praktisch an. Daf?r setzen Sie ein breites Spektrum leistungsf?higer Python-Bibliotheken ein, insbesondere Keras, TensorFlow 2 und Scikit-learn. Auch die f?r die praktische Anwendung unverzichtbaren mathematischen Konzepte werden verst?ndlich und anhand zahlreicher Diagramme anschaulich erl?utert.Die dritte Auflage dieses Buchs wurde f?r TensorFlow 2 komplett aktualisiert und ber?cksichtigt die j?ngsten Entwicklungen und Technologien, die f?r Machine Learning, Neuronale Netze und Deep Learning wichtig sind. Dazu z?hlen insbesondere die neuen Features der Keras-API, das Synthetisieren neuer Daten mit Generative Adversarial Networks (GANs) sowie die Entscheidungsfindung per Reinforcement Learning.Ein sicherer Umgang mit Python wird vorausgesetzt.Aus dem Inhalt:- Trainieren von Lernalgorithmen und Implementierung in Python- G?ngige Klassifikationsalgorithmen wie Support Vector Machines (SVM), Entscheidungsb?ume und Random Forest- Natural Language Processing zur Klassifizierung von Filmbewertungen- Clusteranalyse zum Auffinden verborgener Muster und Strukturen in Ihren Daten- Deep-Learning-Verfahren f?r die Bilderkennung- Datenkomprimierung durch Dimensionsreduktion- Training Neuronaler Netze und GANs mit TensorFlow 2- Kombination verschiedener Modelle f?r das Ensemble Learning- Einbettung von Machine-Learning-Modellen in Webanwendungen- Stimmungsanalyse in Social Networks- Modellierung sequenzieller Daten durch rekurrente Neuronale Netze- Reinforcement Learning und Implementierung von Q-Learning-Algorithmen De Gewicht in Gramm: 1264.…
Seller Inventory # IB-464035
Bibliographic details
- Title
- Machine Learning mit Python und Keras, TensorFlow 2 und Scikit-learn Das umfassende Praxis-Handbuch f?r Data Science, Deep Learning und Predictive Analytics
- Author
- Sebastian Raschka, Vahid Mirjalili
- Publisher
- MITP Verlags GmbH
- Publication year
- 2021
- Condition
- Neu
- Binding
- Softcover/Taschenbuch
- Language
- German
- ISBN 10
- 374750213X
- ISBN 13
- 9783747502136
- Item weight
- 1,264 grams
Shipping rates from Germany to U.S.A.
| Item | 10 to 12 business days | 8 to 10 business days |
|---|---|---|
| First item | £ 52.16 | £ 78.52 |
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