Librería: Bay State Book Company, North Smithfield, RI, Estados Unidos de America
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Añadir al carritoCondición: good. The book is in good condition with all pages and cover intact, including the dust jacket if originally issued. The spine may show light wear. Pages may contain some notes or highlighting, and there might be a "From the library of" label. Boxed set packaging, shrink wrap, or included media like CDs may be missing.
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Añadir al carritoCondición: very_good. Book is in very good condition and may include minimal underlining highlighting. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service.
Librería: Greenworld Books, Arlington, TX, Estados Unidos de America
EUR 7,83
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Añadir al carritoCondición: acceptable. Fast Free Shipping â" A well-loved copy with text fully readable and cover pages intact. May display wear such as writing, highlighting, bends, folds or library marks. Still a complete and usable book. Supplemental items like CDs or access codes may not be included.
Librería: Goodwill Books, Hillsboro, OR, Estados Unidos de America
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Librería: Dream Books Co., Denver, CO, Estados Unidos de America
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Añadir al carritoCondición: good. Gently used with minimal wear on the corners and cover. A few pages may contain light highlighting or writing, but the text remains fully legible. Dust jacket may be missing, and supplemental materials like CDs or codes may not be included. May be ex-library with library markings. Ships promptly!
Librería: UK BOOKS STORE, London, LONDO, Reino Unido
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Añadir al carritoPaperback. Condición: USED BOOKS. USED BOOKS! Fast Delivery International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-14 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Publicado por O'Reilly Media, Sebastopol, 2022
ISBN 10: 1098125975 ISBN 13: 9781098125974
Idioma: Inglés
Librería: Grand Eagle Retail, Mason, OH, Estados Unidos de America
EUR 57,24
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Añadir al carritoPaperback. Condición: new. Paperback. Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This best-selling book uses concrete examples, minimal theory, and production-ready Python frameworks--scikit-learn, Keras, and TensorFlow--to help you gain an intuitive understanding of the concepts and tools for building intelligent systems.With this updated third edition, author Aurelien Geron explores a range of techniques, starting with simple linear regression and progressing to deep neural networks. Numerous code examples and exercises throughout the book help you apply what you've learned. Programming experience is all you need to get started.Use scikit-learn to track an example machine learning project end to endExplore several models, including support vector machines, decision trees, random forests, and ensemble methodsExploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detectionDive into neural net architectures, including convolutional nets, recurrent nets, generative adversarial networks, and transformersUse TensorFlow and Keras to build and train neural nets for computer vision, natural language processing, generative models, and deep reinforcement learningTrain neural nets using multiple GPUs and deploy them at scale using Google's Vertex AI This best-selling book uses concrete examples, minimal theory, and production-ready Python frameworks--scikit-learn, Keras, and TensorFlow--to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
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Librería: California Books, Miami, FL, Estados Unidos de America
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Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 56,70
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Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
EUR 71,27
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Añadir al carritoPaperback. Condición: New. Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This best-selling book uses concrete examples, minimal theory, and production-ready Python frameworks--scikit-learn, Keras, and TensorFlow--to help you gain an intuitive understanding of the concepts and tools for building intelligent systems.With this updated third edition, author Aurelien Geron explores a range of techniques, starting with simple linear regression and progressing to deep neural networks. Numerous code examples and exercises throughout the book help you apply what you've learned. Programming experience is all you need to get started.Use scikit-learn to track an example machine learning project end to endExplore several models, including support vector machines, decision trees, random forests, and ensemble methodsExploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detectionDive into neural net architectures, including convolutional nets, recurrent nets, generative adversarial networks, and transformersUse TensorFlow and Keras to build and train neural nets for computer vision, natural language processing, generative models, and deep reinforcement learningTrain neural nets using multiple GPUs and deploy them at scale using Google's Vertex AI.
Librería: Goodwill Books, Hillsboro, OR, Estados Unidos de America
EUR 13,47
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Añadir al carritoCondición: acceptable. Fairly worn, but readable and intact. If applicable: Dust jacket, disc or access code may not be included.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 56,40
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Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 61,70
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 63,87
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Librería: Majestic Books, Hounslow, Reino Unido
EUR 73,33
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Publicado por O'Reilly Media 2022-10-31, 2022
ISBN 10: 1098125975 ISBN 13: 9781098125974
Idioma: Inglés
Librería: Chiron Media, Wallingford, Reino Unido
EUR 62,98
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 66,34
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: eCampus, Lexington, KY, Estados Unidos de America
EUR 86,59
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Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 91,38
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Añadir al carritoCondición: New. 3rd edition NO-PA16APR2015-KAP.
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 84,64
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Añadir al carritoCondición: New. 2022. 3rd ed. Paperback. . . . . .
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 98,22
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Añadir al carritoPaperback. Condición: New. Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This best-selling book uses concrete examples, minimal theory, and production-ready Python frameworks--scikit-learn, Keras, and TensorFlow--to help you gain an intuitive understanding of the concepts and tools for building intelligent systems.With this updated third edition, author Aurelien Geron explores a range of techniques, starting with simple linear regression and progressing to deep neural networks. Numerous code examples and exercises throughout the book help you apply what you've learned. Programming experience is all you need to get started.Use scikit-learn to track an example machine learning project end to endExplore several models, including support vector machines, decision trees, random forests, and ensemble methodsExploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detectionDive into neural net architectures, including convolutional nets, recurrent nets, generative adversarial networks, and transformersUse TensorFlow and Keras to build and train neural nets for computer vision, natural language processing, generative models, and deep reinforcement learningTrain neural nets using multiple GPUs and deploy them at scale using Google's Vertex AI.
Publicado por O'Reilly Media, Sebastopol, 2022
ISBN 10: 1098125975 ISBN 13: 9781098125974
Idioma: Inglés
Librería: CitiRetail, Stevenage, Reino Unido
EUR 56,39
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Añadir al carritoPaperback. Condición: new. Paperback. Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This best-selling book uses concrete examples, minimal theory, and production-ready Python frameworks--scikit-learn, Keras, and TensorFlow--to help you gain an intuitive understanding of the concepts and tools for building intelligent systems.With this updated third edition, author Aurelien Geron explores a range of techniques, starting with simple linear regression and progressing to deep neural networks. Numerous code examples and exercises throughout the book help you apply what you've learned. Programming experience is all you need to get started.Use scikit-learn to track an example machine learning project end to endExplore several models, including support vector machines, decision trees, random forests, and ensemble methodsExploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detectionDive into neural net architectures, including convolutional nets, recurrent nets, generative adversarial networks, and transformersUse TensorFlow and Keras to build and train neural nets for computer vision, natural language processing, generative models, and deep reinforcement learningTrain neural nets using multiple GPUs and deploy them at scale using Google's Vertex AI This best-selling book uses concrete examples, minimal theory, and production-ready Python frameworks--scikit-learn, Keras, and TensorFlow--to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 95,38
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Añadir al carritoCondición: New. 2022. 3rd ed. Paperback. . . . . . Books ship from the US and Ireland.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 91,73
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Publicado por O'reilly Media Nov 2022, 2022
ISBN 10: 1098125975 ISBN 13: 9781098125974
Idioma: Inglés
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 89,50
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. 834 pp. Englisch.