Seller: HPB-Red, Dallas, TX, U.S.A.
Paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Seller: Goodwill Industries of VSB, Oxnard, CA, U.S.A.
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Published by Packt Publishing - ebooks Account, 2015
ISBN 10: 1783555130 ISBN 13: 9781783555130
Language: English
Seller: SecondSale, Montgomery, IL, U.S.A.
Condition: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Seller: -OnTimeBooks-, Phoenix, AZ, U.S.A.
Condition: good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if youâre not satisfied with purchase please return item for full refund. Ships via media mail.
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Seller: HPB-Red, Dallas, TX, U.S.A.
paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Seller: medimops, Berlin, Germany
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ISBN 10: 3958454224 ISBN 13: 9783958454224
Language: German
Seller: medimops, Berlin, Germany
US$ 15.09
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Add to basketCondition: New. Idioma/Language: Español. El aprendizaje automático está invadiendo el mundo del software. Si quieres entender y trabajar la vanguardia del aprendizaje automático, las redes neuronales y el aprendizaje profundo, esta segunda edición del bestseller Python Machine Learning, es tu libro. Modernizado y ampliado para incluir las tecnologías de código abierto más recientes, como scikit-learn, Keras y TensorFlow, este manual proporciona el conocimiento práctico y las técnicas necesarias para crear eficaces aplicaciones de aprendizaje automático y aprendizaje profundo en Python. El conocimiento y la experiencia únicos de Sebastian Raschka y Vahid Mirjalili presentan los algoritmos de aprendizaje automático y aprendizaje profundo, antes de continuar con temas avanzados en análisis de datos. Combinan los principios teóricos delaprendizaje automático con un enfoque práctico de codificación para una comprensión completa de la teoría del aprendizaje automático y la implementación con Python. Aprenderás a:Explorar y entender los frameworks clave para la ciencia de datos, el aprendizaje automático y el aprendizaje profundoFormular nuevas preguntas sobre datos con modelos deaprendizaje automático y redes neuronalesAprovechar el poder de las últimas libreríasde código abierto de Python para aprendizaje automáticoDominar la implementación de redes neuronales profundas con la librería de TensorFlowIncrustar modelos de aprendizaje automáticos en aplicacions web accesiblesPredecir resultados objetivos continuos con análisis de regresiónDescubrir patrones ocultos y estructuras en datos con agrupamientosAnalizar imágenes mediante técnicas de aprendizaje profundoProfundizar en datos de medios sociales y textuales con el análisis de sentimientos 4 *** Nota: Los envíos a España peninsular, Baleares y Canarias se realizan a través de mensajería urgente. No aceptamos pedidos con destino a Ceuta y Melilla.
Seller: California Books, Miami, FL, U.S.A.
Condition: New.
ISBN 10: 374750213X ISBN 13: 9783747502136
Language: German
Seller: Majestic Books, Hounslow, United Kingdom
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Seller: dsmbooks, Liverpool, United Kingdom
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Published by Machinery Industry Press, 2021
ISBN 10: 7111681371 ISBN 13: 9787111681373
Language: Chinese
Seller: liu xing, Nanjing, JS, China
US$ 178.58
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Add to basketpaperback. Condition: New. Paperback. Pub Date: 2021-06-01 Pages: 462 Publisher: Machinery Industry Press Since the publication of the first edition. this book has been welcomed by readers.?Compared with similar books. this book not only introduces how to practice with Python and Python-based machine learning software libraries. but also discusses the necessary details of machine learning concepts. and at the same time discusses the working principles. methods of use and how to avoid machine learning algorithms. Fallin.