Seller: Amazing Books Pittsburgh, Pittsburgh, PA, U.S.A.
paperback. Condition: Very Good. Unmarked. 2017, first edition. Paperback. (1h).
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: Ammareal, Morangis, France
US$ 5.73
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Add to basketSoftcover. Condition: Bon. Ancien livre de bibliothèque avec équipements. Edition 2017. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Edition 2017. Ammareal gives back up to 15% of this item's net price to charity organizations.
Seller: URW Books Store, CASPER, WY, U.S.A.
Paperback. Condition: used books. used books ! Fast Delivery, Delivery With In 8-12 working Day Only , USA Edition Original Edition. Excellent Quality, Printing In English Language, Quick delivery by FEDEX & DHL. USPS & UPS Act. Our courier service is not available at PO BOX& APO BOX. Ship from India & United States.
Seller: UK BOOKS STORE, London, LONDO, United Kingdom
US$ 55.02
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Add to basketPaperback. Condition: New. 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: mvpcraftz, Charlotte, NC, U.S.A.
Soft cover. Condition: As New. 3rd Edition. Paperback,Condition: Used:Used books !Fast Delivery With In 8-12 working Day Only , USA Edition Original Edition. Excellent Quality, Printing In English Language, Quick delivery by FEDEX,DHLUSPS & UPS Act. Our courier service is not available at PO BOX& APO BOX. Ship from India & United States.
Seller: medimops, Berlin, Germany
US$ 13.08
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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.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
US$ 62.93
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Seller: Lakeside Books, Benton Harbor, MI, U.S.A.
US$ 61.59
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Add to basketCondition: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!
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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Add to basketCondition: New.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
US$ 67.58
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Add to basketCondition: As New. Unread book in perfect condition.
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: Reader's Corner, Inc., Raleigh, NC, U.S.A.
First Edition
Soft cover. Condition: Very Good. 1st Edition. This is a VG, unmarked, first edition paperback copy, red spine.
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Seller: Austin Goodwill 1101, Austin, TX, U.S.A.
Condition: Acceptable. Get fast and secure shipping knowing your purchase helps empower our community to transform their lives through work.
Seller: California Books, Miami, FL, U.S.A.
Condition: New.
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
US$ 65.92
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Add to basketPAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Seller: clickgoodwillbooks, Indianapolis, IN, U.S.A.
Condition: Good. This is a paper back book: Used - Good: A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages.
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$ 65.91
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
US$ 66.72
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Add to basketCondition: As New. Unread book in perfect condition.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
US$ 74.26
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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$ 73.22
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Add to basketPaperback. Condition: New.
Seller: Majestic Books, Hounslow, United Kingdom
US$ 83.75
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Add to basketCondition: New.
Seller: eCampus, Lexington, KY, U.S.A.
Condition: New.
Published by O'Reilly Media, Inc, USA, 2022
ISBN 10: 1098125975 ISBN 13: 9781098125974
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
US$ 79.06
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Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 1560.
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. 3rd edition NO-PA16APR2015-KAP.
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
US$ 110.30
Convert currencyQuantity: 17 available
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.