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100%: GERON: Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems (ISBN: 9789352135219) 2017, Shroff - O'Reilly, in Englisch, Taschenbuch.Nur diese Ausgabe anzeigen…
83%: Aurelien Geron: Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (ISBN: 9781492032618) 2019, O'reilly Media, in Englisch, auch als eBook.
Nur diese Ausgabe anzeigen…
Nur diese Ausgabe anzeigen…
80%: Aurélien Géron: Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems (ISBN: 9781491962244) 2017, in Englisch, auch als eBook.Nur diese Ausgabe anzeigen…
79%: Aurélien Géron: Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems (English Edition) (ISBN: 9781491962251) 2017, O'Reilly Media, Erstausgabe, in Englisch, auch als eBook.Nur diese Ausgabe anzeigen…
79%: Göron, Aurölien: Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems (ISBN: 9781491962299) 2017, O'Reilly UK Ltd., Erstausgabe, in Englisch, Taschenbuch.Nur diese Ausgabe anzeigen…
78%: Aurélien Géron: Hands-On Machine Learning with Scikit-Learn and TensorFlow (ISBN: 9781491962237) O'Reilly, in Englisch, auch als eBook.Nur diese Ausgabe anzeigen…
64%: Aurelien Geron: Hands-On Machine Learning with Scikit-Learn Keras and TensorFlow (ISBN: 9781492032595) 2019, in Englisch, auch als eBook.Nur diese Ausgabe anzeigen…
57%: Aurélien Géron: Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems (Paperback) (ISBN: 9781492032649) 2019, 2. Ausgabe, in Englisch, Taschenbuch.Nur diese Ausgabe anzeigen…
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
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| Preise | 2018 | 2019 | 2021 | 2022 |
|---|---|---|---|---|
| Schnitt | € 37,58 | € 56,30 | € 71,86 | € 50,36 |
| Nachfrage |
1
Hands-On Machine Learning with Scikit-Learn and TensorFlow Conce (2017)
EN PB USISBN: 9789352135219 bzw. 9352135210, in Englisch, Taschenbuch, gebraucht, akzeptabler Zustand.
Lieferung aus: Vereinigte Staaten von Amerika, Free shipping, Fixed cost delivery, Delivery type: Economy Shipping, Ohio 436** Toledo, Delivery: United States, Europe, Canada.
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by Geron | Paperback, Binding: Paperback. They are not actual photos of the physical item for sale and should not be relied upon as a basis for edition or condition. Author: Geron Language: EnglishBinding: PaperbackPages: 568Publisher: Shroff - OReillyPublication Date: 2017-11-09 img{max-width:100%}Our eBay Store Terms & ConditionsStock Photos: The photos displayed within our listings are Stock Photos provided by eBay and the publisher as a visual aid. They are not actual photos of the physical item for sale and should not be relied upon as a basis for edition or condition. Customer Service: Please contact us via eBay messages if you have any questions or concerns regarding your order. Our customer service department is available M-F from 8:00am to 4:00pm PST. Our response time for email inquiries is 24 to 48 hours or 2 business days (M-F). PLEASE NOTE: Should you submit an email inquiry on a Friday after 3:00pm, your inquiry will not be responded to until the following Monday. Feedback: Feedback is left for buyers after purchase has been completed. Should our services meet your satisfaction, your feedback would be greatly appreciated. Should you have an issue or problem with your order, we request the opportunity to make amends or resolve the issue before feedback is left. Your satisfaction is our highest priority! Disclaimer: This item may be a de-commissioned library book and may not include its CD, dust cover, access code and/or accessories., Good, Fixed price, Book Title: Hands-On Machine Learning with Scikit-Learn and TensorF, Language: english.
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by Geron | Paperback, Binding: Paperback. They are not actual photos of the physical item for sale and should not be relied upon as a basis for edition or condition. Author: Geron Language: EnglishBinding: PaperbackPages: 568Publisher: Shroff - OReillyPublication Date: 2017-11-09 img{max-width:100%}Our eBay Store Terms & ConditionsStock Photos: The photos displayed within our listings are Stock Photos provided by eBay and the publisher as a visual aid. They are not actual photos of the physical item for sale and should not be relied upon as a basis for edition or condition. Customer Service: Please contact us via eBay messages if you have any questions or concerns regarding your order. Our customer service department is available M-F from 8:00am to 4:00pm PST. Our response time for email inquiries is 24 to 48 hours or 2 business days (M-F). PLEASE NOTE: Should you submit an email inquiry on a Friday after 3:00pm, your inquiry will not be responded to until the following Monday. Feedback: Feedback is left for buyers after purchase has been completed. Should our services meet your satisfaction, your feedback would be greatly appreciated. Should you have an issue or problem with your order, we request the opportunity to make amends or resolve the issue before feedback is left. Your satisfaction is our highest priority! Disclaimer: This item may be a de-commissioned library book and may not include its CD, dust cover, access code and/or accessories., Good, Fixed price, Book Title: Hands-On Machine Learning with Scikit-Learn and TensorF, Language: english.
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Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
~EN PB USISBN: 9789352135219 bzw. 9352135210, vermutlich in Englisch, Shroff - O'Reilly, Taschenbuch, gebraucht, guter Zustand.
Lieferung aus: Vereinigte Staaten von Amerika, Versandkosten nach: DEU.
Von Händler/Antiquariat, Discover Books.
Shroff - O'Reilly. Paperback. GOOD. Spine creases, wear to binding and pages from reading. May contain limited notes, underlining or highlighting that does affect the text. Possible ex library copy, will have the markings and stickers associated from the library. Accessories such as CD, codes, toys, may not be included.
Von Händler/Antiquariat, Discover Books.
Shroff - O'Reilly. Paperback. GOOD. Spine creases, wear to binding and pages from reading. May contain limited notes, underlining or highlighting that does affect the text. Possible ex library copy, will have the markings and stickers associated from the library. Accessories such as CD, codes, toys, may not be included.
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Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems (2017)
~EN PB USISBN: 9789352135219 bzw. 9352135210, vermutlich in Englisch, Shroff - O'Reilly, Taschenbuch, gebraucht, akzeptabler Zustand.
Von Händler/Antiquariat, Bayside Books [64434477], Ogden, UT, U.S.A.
Spine creases, wear to binding and pages from reading. May contain limited notes, underlining or highlighting that does affect the text. Possible ex library copy, will have the markings and stickers associated from the library. Accessories such as CD, codes, toys, may not be included. Books.
Spine creases, wear to binding and pages from reading. May contain limited notes, underlining or highlighting that does affect the text. Possible ex library copy, will have the markings and stickers associated from the library. Accessories such as CD, codes, toys, may not be included. Books.
4
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Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems (2017)
~EN PB USISBN: 9789352135219 bzw. 9352135210, vermutlich in Englisch, Shroff - O'Reilly, Taschenbuch, gebraucht, guter Zustand.
Von Händler/Antiquariat, Discover Books [64434602], Toledo, OH, U.S.A.
Light rubbing wear to cover, spine and page edges. Very minimal writing or notations in margins not affecting the text. Possible clean ex-library copy, with their stickers and or stamp(s). Books.
Light rubbing wear to cover, spine and page edges. Very minimal writing or notations in margins not affecting the text. Possible clean ex-library copy, with their stickers and or stamp(s). Books.
5
Symbolbild
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems (2017)
~EN PB USISBN: 9789352135219 bzw. 9352135210, vermutlich in Englisch, Shroff - O'Reilly, Taschenbuch, gebraucht, guter Zustand.
Lieferung aus: Vereinigte Staaten von Amerika, Free shipping.
Von Händler/Antiquariat, Free Shipping Books [8938484], Ogden, UT, U.S.A.
Light rubbing wear to cover, spine and page edges. Very minimal writing or notations in margins not affecting the text. Possible clean ex-library copy, with their stickers and or stamp(s). Books.
Von Händler/Antiquariat, Free Shipping Books [8938484], Ogden, UT, U.S.A.
Light rubbing wear to cover, spine and page edges. Very minimal writing or notations in margins not affecting the text. Possible clean ex-library copy, with their stickers and or stamp(s). Books.
6
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
EN NW EB DLISBN: 9781492032618 bzw. 1492032611, in Englisch, neu, E-Book, elektronischer Download.
Lieferung aus: Vereinigte Staaten von Amerika, In Stock, plus shipping.
Through a series of recent 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 practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets Use Scikit-Learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets.
Through a series of recent 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 practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets Use Scikit-Learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets.
7
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
EN NW EB DLISBN: 9781492032618 bzw. 1492032611, in Englisch, neu, E-Book, elektronischer Download.
Lieferung aus: Vereinigte Staaten von Amerika, In Stock, plus shipping.
Through a series of recent 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 practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You'll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you've learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets Use Scikit-Learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets.
Through a series of recent 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 practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You'll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you've learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets Use Scikit-Learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets.
8
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems (2017)
~EN PB USISBN: 9789352135219 bzw. 9352135210, vermutlich in Englisch, Shroff - O'Reilly, Taschenbuch, gebraucht, guter Zustand.
Von Händler/Antiquariat, medimops [55410863], Berlin, Germany.
Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages. Books.
Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages. Books.
9
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow - Concepts, Tools, and Techniques to Build Intelligent Systems
~EN NW EB DLISBN: 9781492032618 bzw. 1492032611, vermutlich in Englisch, O'reilly Media, neu, E-Book, elektronischer Download.
Lieferung aus: Deutschland, Free shipping.
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Through a series of recent 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 practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworksScikit-Learn and TensorFlowauthor Aurlien Gron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. Youll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what youve learned, all you need is programming experience to get started.Explore the machine learning landscape, particularly neural netsUse Scikit-Learn to track an example machine-learning project end-to-endExplore several training models, including support vector machines, decision trees, random forests, and ensemble methodsUse the TensorFlow library to build and train neural netsDive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learningLearn techniques for training and scaling deep neural nets, Englisch, Ebook.
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Through a series of recent 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 practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworksScikit-Learn and TensorFlowauthor Aurlien Gron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. Youll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what youve learned, all you need is programming experience to get started.Explore the machine learning landscape, particularly neural netsUse Scikit-Learn to track an example machine-learning project end-to-endExplore several training models, including support vector machines, decision trees, random forests, and ensemble methodsUse the TensorFlow library to build and train neural netsDive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learningLearn techniques for training and scaling deep neural nets, Englisch, Ebook.
10
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (2019)
~EN NW EB DLISBN: 9781492032618 bzw. 1492032611, vermutlich in Englisch, 856 Seiten, O'Reilly Media, neu, E-Book, elektronischer Download.
Lieferung aus: Deutschland, Download sofort lieferbar.
Concepts, Tools, and Techniques to Build Intelligent Systems, eBooks, eBook Download (PDF), Through a series of recent 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 practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworksScikit-Learn and TensorFlowauthor Aurlien Gron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. Youll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what youve learned, all you need is programming experience to get started.Explore the machine learning landscape, particularly neural netsUse Scikit-Learn to track an example machine-learning project end-to-endExplore several training models, including support vector machines, decision trees, random forests, and ensemble methodsUse the TensorFlow library to build and train neural netsDive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learningLearn techniques for training and scaling deep neural nets.
Concepts, Tools, and Techniques to Build Intelligent Systems, eBooks, eBook Download (PDF), Through a series of recent 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 practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworksScikit-Learn and TensorFlowauthor Aurlien Gron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. Youll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what youve learned, all you need is programming experience to get started.Explore the machine learning landscape, particularly neural netsUse Scikit-Learn to track an example machine-learning project end-to-endExplore several training models, including support vector machines, decision trees, random forests, and ensemble methodsUse the TensorFlow library to build and train neural netsDive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learningLearn techniques for training and scaling deep neural nets.
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