Seller: Greenworld Books, Arlington, TX, U.S.A.
Condition: 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.
Seller: Dream Books Co., Denver, CO, U.S.A.
Condition: 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!
Seller: UK BOOKS STORE, London, LONDO, United Kingdom
US$ 55.02
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Add to basketPaperback. Condition: USED BOOKS. USED BOOKS! Fast Delivery USA 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.
Seller: Goodwill Books, Hillsboro, OR, U.S.A.
Condition: acceptable. Fairly worn, but readable and intact. If applicable: Dust jacket, disc or access code may not be included.
Seller: Goodwill of Silicon Valley, SAN JOSE, CA, U.S.A.
Condition: good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear.
Seller: WeBuyBooks, Rossendale, LANCS, United Kingdom
US$ 50.17
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Add to basketCondition: Like New. Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
US$ 62.77
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Published by O'Reilly Media, Sebastopol, 2022
ISBN 10: 1098125975 ISBN 13: 9781098125974
Language: English
Seller: Grand Eagle Retail, Mason, OH, U.S.A.
Paperback. Condition: 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.
Seller: CampusBear, Coppell, TX, U.S.A.
paperback. Condition: As New. No highlighting. Very minimal wear.
Seller: Best Price, Torrance, CA, U.S.A.
Condition: New. SUPER FAST SHIPPING.
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
US$ 65.94
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
US$ 67.58
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Add to basketCondition: As New. Unread book in perfect condition.
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Seller: California Books, Miami, FL, U.S.A.
Condition: New.
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
US$ 66.57
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Add to basketPAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Seller: BookHolders, Towson, MD, U.S.A.
Condition: Good. [ No Hassle 30 Day Returns ][ Ships Daily ] [ Underlining/Highlighting: NONE ] [ Writing: NONE ] [ Edition: Second ] Publisher: O'Reilly Media Pub Date: 10/15/2019 Binding: Paperback Pages: 256 Second edition.
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.
Paperback. Condition: 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.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
US$ 66.33
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Add to basketCondition: New.
Seller: Brook Bookstore On Demand, Napoli, NA, Italy
US$ 74.62
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
US$ 74.99
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Add to basketCondition: New. In.
Published by O'Reilly Media 2022-10-31, 2022
ISBN 10: 1098125975 ISBN 13: 9781098125974
Language: English
Seller: Chiron Media, Wallingford, United Kingdom
US$ 73.95
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Add to basketPaperback. Condition: New.
Seller: Majestic Books, Hounslow, United Kingdom
US$ 83.75
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
US$ 77.91
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Add to basketCondition: As New. Unread book in perfect condition.
Seller: eCampus, Lexington, KY, U.S.A.
Condition: New.
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. 3rd edition NO-PA16APR2015-KAP.
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
US$ 102.30
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Add to basketCondition: New. 2022. 3rd ed. Paperback. . . . . .
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
US$ 111.71
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Add to basketPaperback. Condition: 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.
Seller: medimops, Berlin, Germany
US$ 63.19
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Add to basketCondition: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.
Published by O'Reilly Media, Sebastopol, 2022
ISBN 10: 1098125975 ISBN 13: 9781098125974
Language: English
Seller: CitiRetail, Stevenage, United Kingdom
US$ 66.32
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Add to basketPaperback. Condition: 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.
Published by O'Reilly Media, Incorporated, 2019
ISBN 10: 1492032646 ISBN 13: 9781492032649
Language: English
Seller: Better World Books, Mishawaka, IN, U.S.A.
Condition: Good. Used book that is in clean, average condition without any missing pages.