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100%: 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…
100%: Aurelien Geron: Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (ISBN: 9781492032618) 2019, O'reilly Media, in Englisch, auch als eBook.
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76%: Aurelien Geron: Hands-On Machine Learning with Scikit-Learn Keras and TensorFlow (ISBN: 9781492032595) 2019, in Englisch, auch als eBook.Nur diese Ausgabe anzeigen…
Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems (Paperback)
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| Preise | 2018 | 2019 | 2020 | 2021 | 2022 |
|---|---|---|---|---|---|
| Schnitt | Fr. 37.41 (€ 38.21)¹ | Fr. 62.43 (€ 63.76)¹ | Fr. 60.00 (€ 61.27)¹ | Fr. 59.17 (€ 60.43)¹ | Fr. 56.60 (€ 57.80)¹ |
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MASCHINELLES LERNEN ZUM ANFASSEN MIT SCIKIT LE (2019)
EN PB NWISBN: 9781492032649 bzw. 1492032646, in Englisch, O'reilly, INC International Concepts, USA, Taschenbuch, neu.
Lieferung aus: Vereinigtes Königreich Grossbritannien und Nordirland, Versand zum Fixpreis, Lieferart: Sparversand, BN23 *** EASTBOURNE, Lieferung: Europa.
Von Händler/Antiquariat, speedyhenuk.
Binding: Paperback / softback. Number Of Pages: 600. Length: 177mm. Width: 232mm. Visit our eBay Shop HANDS ON MACHINE LEARNING WITH SCIKIT LE Click on the Image to Enlarge zoom_in Product Description HANDS ON MACHINE LEARNING WITH SCIKIT LE Authors: GERON, AURELIEN EAN: 9781492032649 SKU: ST1492032646 Binding: Paperback / softback Height: 33mm Width: 232mm Length: 177mm Weight: 1210 grams Number Of Pages: 600 Publisher: O'Reilly Media, Inc, USA Publication Date: 14 October 2019 Delivery UK We offer free delivery on all UK orders! Better still if you place your order before 2pm it will be despatched the very same day from our UK warehouse! (Monday – Friday) We will keep you up to date along your Speedyhen journey and you will receive email confirmation as soon as your order has left our warehouse. Our free delivery is typically a 2-3 working day service with all orders sent via Royal Mail. We do offer two postage upgrades should you require your order extra specially speedy, Standard & Express: Standard UK orders are sent via Royal Mail 48. This typically takes 2 working days. Express UK orders are sent via Royal Mail 24 Tracked. This typically is a next working day service and has full tracking. Should you require a postage upgrade please make sure you make the relevant selection when going through the checkout process. International Should you require international delivery, all orders are despatched via a standard international airmail service. We estimate all international orders to arrive within 12 working days. A tracking number is not guaranteed. QUICK DESPATCH FREE DELIVERY TO UK WORLDWIDE SHIPPING About Speedyhen Hatched in 2009, Speedyhen has built up a reputation for its quick, reliable and friendly service! We are a family run, UK business that’s sold over 5 million products to happy customers around the world! Our dedication to customer service has resulted in our feedback being 99.9% with 1.5 million eBay customers leaving us a positive rating. We are officially a ‘Top Rated’ eBay seller and have one of the largest eBay stores in the world so you can rest assured, you are in safe claws! Returns Here at Speedyhen we want you to be 100% satisfied with your order and with that comes piece of mind that every purchase has a lengthy 30 day return window. Should you wish to make a return, all you need to do is get in touch with our delightful customer service team and they will advise on how to get your return processed as quickly and stress free as possible! FAQs A list of frequently asked questions can be found over on our eBay store by clicking here T&Cs By continuing with this checkout and ordering from Speedyhen, you are accepting our current Terms and Conditions. Details of which can be found by clicking here , Neu, Festpreisangebot, Book Title: HANDS ON MACHINE LEARNING WITH SCIKIT LE, EAN: 9781492032649, Publication Year: 2019, Type: Textbook, Format: Paperback, Language: English, Publication Name: Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems, Item Height: 233mm, Item Width: 178mm, Subject: Computer Science, Number of Pages: 600 Pages.
Von Händler/Antiquariat, speedyhenuk.
Binding: Paperback / softback. Number Of Pages: 600. Length: 177mm. Width: 232mm. Visit our eBay Shop HANDS ON MACHINE LEARNING WITH SCIKIT LE Click on the Image to Enlarge zoom_in Product Description HANDS ON MACHINE LEARNING WITH SCIKIT LE Authors: GERON, AURELIEN EAN: 9781492032649 SKU: ST1492032646 Binding: Paperback / softback Height: 33mm Width: 232mm Length: 177mm Weight: 1210 grams Number Of Pages: 600 Publisher: O'Reilly Media, Inc, USA Publication Date: 14 October 2019 Delivery UK We offer free delivery on all UK orders! Better still if you place your order before 2pm it will be despatched the very same day from our UK warehouse! (Monday – Friday) We will keep you up to date along your Speedyhen journey and you will receive email confirmation as soon as your order has left our warehouse. Our free delivery is typically a 2-3 working day service with all orders sent via Royal Mail. We do offer two postage upgrades should you require your order extra specially speedy, Standard & Express: Standard UK orders are sent via Royal Mail 48. This typically takes 2 working days. Express UK orders are sent via Royal Mail 24 Tracked. This typically is a next working day service and has full tracking. Should you require a postage upgrade please make sure you make the relevant selection when going through the checkout process. International Should you require international delivery, all orders are despatched via a standard international airmail service. We estimate all international orders to arrive within 12 working days. A tracking number is not guaranteed. QUICK DESPATCH FREE DELIVERY TO UK WORLDWIDE SHIPPING About Speedyhen Hatched in 2009, Speedyhen has built up a reputation for its quick, reliable and friendly service! We are a family run, UK business that’s sold over 5 million products to happy customers around the world! Our dedication to customer service has resulted in our feedback being 99.9% with 1.5 million eBay customers leaving us a positive rating. We are officially a ‘Top Rated’ eBay seller and have one of the largest eBay stores in the world so you can rest assured, you are in safe claws! Returns Here at Speedyhen we want you to be 100% satisfied with your order and with that comes piece of mind that every purchase has a lengthy 30 day return window. Should you wish to make a return, all you need to do is get in touch with our delightful customer service team and they will advise on how to get your return processed as quickly and stress free as possible! FAQs A list of frequently asked questions can be found over on our eBay store by clicking here T&Cs By continuing with this checkout and ordering from Speedyhen, you are accepting our current Terms and Conditions. Details of which can be found by clicking here , Neu, Festpreisangebot, Book Title: HANDS ON MACHINE LEARNING WITH SCIKIT LE, EAN: 9781492032649, Publication Year: 2019, Type: Textbook, Format: Paperback, Language: English, Publication Name: Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems, Item Height: 233mm, Item Width: 178mm, Subject: Computer Science, Number of Pages: 600 Pages.
2
Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts,. (2019)
EN PB NWISBN: 9781492032649 bzw. 1492032646, in Englisch, O'reilly Uk Ltd. Taschenbuch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, Versandkostenfrei, Versand zum Fixpreis, Lieferart: Standard Shipping from outside, 774** Richmond, Lieferung: Deutschland.
Von Händler/Antiquariat, ergodebooks_de.
Scikit-Learn and TensorFlow 2�???. Practitioners will learn a range of techniques that they can quickly put to use on the job. With exercises in each chapter to help you apply what you�????. ve learned, all you need is programming experience to get started. 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.The updated edition of this best-selling book uses concrete examples, minimal theory, and two production-ready Python frameworks�??Scikit-Learn and TensorFlow 2�??to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. Practitioners will learn a range of techniques that they can quickly put to use on the job. Part 1 employs Scikit-Learn to introduce fundamental machine learning tasks, such as simple linear regression. Part 2, which has been significantly updated, employs Keras and TensorFlow 2 to guide the reader through more advanced machine learning methods using 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.NEW FOR THE SECOND EDITION:Updated all code to TensorFlow 2Introduced the high-level Keras APINew and expanded coverage including TensorFlow�??s Data API, Eager Execution, Estimators API, deploying on Google Cloud ML, handling time series, embeddings and more With Early Release ebooks, you get books in their earliest form�??the authors raw and unedited content as he or she writes�??so you can take advantage of these technologies long before the official release of these titles. Youll also receive updates when significant changes are made, new chapters are available, and the final ebook bundle is released., Neu, Festpreisangebot, Edition Description: 2, Publication Date: 04-08-2019, Language: English, Publication Year: 04-08-2019, Country of Origin: USA, United States, Manufacturer/Packer/Importer Details: ERGODE, Net Quantity/Number of Units: 1, Dimensions (LxWxH) - Cms: 9.19X0X7, ISBN-10: 1492032646, ISBN-13: 9781492032649, SKU: DADAX1492032646, EAN: 9781492032649, Produktart: Lehrbuch, Format: Taschenbuch, Anzahl der Seiten: 819 Seiten, Publikationsname: Hands-On Machine Learning With Scikit-Learn, Keras, And Tensorflow, Sprache: Englisch.
Von Händler/Antiquariat, ergodebooks_de.
Scikit-Learn and TensorFlow 2�???. Practitioners will learn a range of techniques that they can quickly put to use on the job. With exercises in each chapter to help you apply what you�????. ve learned, all you need is programming experience to get started. 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.The updated edition of this best-selling book uses concrete examples, minimal theory, and two production-ready Python frameworks�??Scikit-Learn and TensorFlow 2�??to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. Practitioners will learn a range of techniques that they can quickly put to use on the job. Part 1 employs Scikit-Learn to introduce fundamental machine learning tasks, such as simple linear regression. Part 2, which has been significantly updated, employs Keras and TensorFlow 2 to guide the reader through more advanced machine learning methods using 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.NEW FOR THE SECOND EDITION:Updated all code to TensorFlow 2Introduced the high-level Keras APINew and expanded coverage including TensorFlow�??s Data API, Eager Execution, Estimators API, deploying on Google Cloud ML, handling time series, embeddings and more With Early Release ebooks, you get books in their earliest form�??the authors raw and unedited content as he or she writes�??so you can take advantage of these technologies long before the official release of these titles. Youll also receive updates when significant changes are made, new chapters are available, and the final ebook bundle is released., Neu, Festpreisangebot, Edition Description: 2, Publication Date: 04-08-2019, Language: English, Publication Year: 04-08-2019, Country of Origin: USA, United States, Manufacturer/Packer/Importer Details: ERGODE, Net Quantity/Number of Units: 1, Dimensions (LxWxH) - Cms: 9.19X0X7, ISBN-10: 1492032646, ISBN-13: 9781492032649, SKU: DADAX1492032646, EAN: 9781492032649, Produktart: Lehrbuch, Format: Taschenbuch, Anzahl der Seiten: 819 Seiten, Publikationsname: Hands-On Machine Learning With Scikit-Learn, Keras, And Tensorflow, Sprache: Englisch.
3
Hands-on Machine Learning With Scikit-learn, Keras, and Tensorflow (Paperback) (2019)
~EN PB NWISBN: 9781492032649 bzw. 1492032646, vermutlich in Englisch, O'reilly Media, Inc, Usa, Sebastopol, Taschenbuch, neu.
Von Händler/Antiquariat, AussieBookSeller [52402892], Lidcombe, NSW, Australia.
Paperback. 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 Aurelien Geron 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Books.
Paperback. 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 Aurelien Geron 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Books.
4
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Hands-on Machine Learning With Scikit-Learn, Keras, and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems (2019)
~EN PB USISBN: 9781492032649 bzw. 1492032646, vermutlich in Englisch, 2. Ausgabe, O'Reilly Media, Inc, USA, Taschenbuch, gebraucht.
Lieferung aus: Vereinigte Staaten von Amerika, zzgl. Versandkosten, Versandgebiet: DOM.
Von Händler/Antiquariat, River in the Sky, VA, Front Royal, [RE:5].
Like new condition. Absolutely no highlighting or marking inside the books. All covers subject to prior use. (If the book was published with a CD/DVD, it will be included in your copy. ), Paperback, 2nd New edition. New edition.
Von Händler/Antiquariat, River in the Sky, VA, Front Royal, [RE:5].
Like new condition. Absolutely no highlighting or marking inside the books. All covers subject to prior use. (If the book was published with a CD/DVD, it will be included in your copy. ), Paperback, 2nd New edition. New edition.
5
Symbolbild
Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow
EN PB NWISBN: 9781492032649 bzw. 1492032646, in Englisch, O'Reilly Media, Inc, USA, Taschenbuch, neu.
Concepts, Tools, and Techniques to Build Intelligent Systems, 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.
6
Symbolbild
Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow
EN PB NWISBN: 9781492032649 bzw. 1492032646, in Englisch, O'Reilly Media, Inc, USA, Taschenbuch, neu.
Concepts, Tools, and Techniques to Build Intelligent Systems, 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.
7
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems (2019)
~EN PB USISBN: 9781492032649 bzw. 1492032646, vermutlich in Englisch, O'Reilly Media, Taschenbuch, gebraucht, akzeptabler Zustand.
Von Händler/Antiquariat, NetText Store [52330982], Lincoln, NE, U.S.A.
Books have varying amounts of wear and highlighting. Usually ships within 24 hours in quality packaging. Satisfaction guaranteed. Books have varying amounts of wear and highlighting. Please note that items may contain writing and/or highlighting and may not include CDs, access cards, or other supplementary material. We are not able to ship internationally. Your satisfaction is guaranteed! Items ship in quality packaging within 3 business days. Books.
Books have varying amounts of wear and highlighting. Usually ships within 24 hours in quality packaging. Satisfaction guaranteed. Books have varying amounts of wear and highlighting. Please note that items may contain writing and/or highlighting and may not include CDs, access cards, or other supplementary material. We are not able to ship internationally. Your satisfaction is guaranteed! Items ship in quality packaging within 3 business days. Books.
8
Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems (Paperback) (2019)
~EN PB NWISBN: 9781492032649 bzw. 1492032646, vermutlich in Englisch, O'Reilly Media, Inc, USA, United States, Taschenbuch, neu.
Lieferung aus: Vereinigtes Königreich Grossbritannien und Nordirland, Versandkostenfrei.
Von Händler/Antiquariat, Book Depository hard to find [63688905], London, United Kingdom.
Language: English. Brand new Book. 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 Aurelien Geron 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 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, Books.
Von Händler/Antiquariat, Book Depository hard to find [63688905], London, United Kingdom.
Language: English. Brand new Book. 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 Aurelien Geron 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 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, Books.
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