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Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts,
US $26,88
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Libro che è già stato letto ma è in buone condizioni. Mostra piccolissimi danni alla copertina incluse alcune rigature, ma nessun foro o strappo. È possibile che la sovraccoperta per le copertine rigide non sia inclusa. La rilegatura presenta minimi segni di usura. La maggior parte delle pagine non è danneggiata e mostra una quantità minima di piegature o strappi, sottolineature di testo a matita, nessuna evidenziazione di testo né scritte ai margini. Non ci sono pagine mancanti. Per maggiori dettagli e la descrizione di eventuali imperfezioni, consulta l'inserzione del venditore.
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Gratis Standard Shipping.
Oggetto che si trova a: Sparks, Nevada, Stati Uniti
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Consegna prevista tra il lun 20 ott e il ven 24 ott a 94104
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Numero oggetto eBay:404321180981
Specifiche dell'oggetto
- Condizione
- Book Title
- Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlo
- Publication Date
- 2019-10-11
- Edition Number
- 2
- ISBN
- 1492032646
Informazioni su questo prodotto
Product Identifiers
Publisher
O'reilly Media, Incorporated
ISBN-10
1492032646
ISBN-13
9781492032649
eBay Product ID (ePID)
8038668355
Product Key Features
Number of Pages
848 Pages
Language
English
Publication Name
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow : Concepts, Tools, and Techniques to Build Intelligent Systems
Publication Year
2019
Subject
Intelligence (Ai) & Semantics, General, Data Processing, Computer Vision & Pattern Recognition
Type
Textbook
Subject Area
Mathematics, Computers
Format
Trade Paperback
Dimensions
Item Height
1.4 in
Item Weight
43.2 Oz
Item Length
9.4 in
Item Width
7 in
Additional Product Features
Edition Number
2
Intended Audience
Trade
LCCN
2020-304725
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
006.3/1
Synopsis
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 Aur lien G ron 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, Now fully updated, this bestselling book uses concrete examples, minimal theory, and two production-ready Python frameworks--Scikit-Learn and TensorFlow 2--to help users gain an intuitive understanding of the concepts and tools for building intelligent systems.t systems.
LC Classification Number
QA76.73.P98G45 2019
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- eBay automated Feedback- Feedback lasciato dall'acquirente.Mese scorsoOrder delivered on time with no issues
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- e***n (392)- Feedback lasciato dall'acquirente.Ultimi 6 mesiAcquisto verificatoGreat transaction, exactly as described, packed well, and promptly shipped on August 6th. Unfortunately the U.S. Postal Service took 23 calendar days to deliver the book. It was shipped from Pennsylvania, to Atlanta, past Alabama to Texas, enjoyed several days in Texas, then to Minneapolis, Jacksonville, Florida, back to Atlanta, finally to Birmingham, and Huntsville. The seller was very responsive and I decided it was interesting to see if/how the book would arrive. Thanks, Joe
- 0***g (380)- Feedback lasciato dall'acquirente.Mese scorsoAcquisto verificatoExcellent purchase. Was able to get all three items from the one seller. Seller was able to bundle all three items together into one package. Items as described and arrived in perfect condition. Good communication around shipping and tracking as items delayed and not able to be delivered by original estimate. Thanks to shipping updates I was able to track the items arriving before the extended delivery time. Thank you for making these items available on EBay.
- _***b (63)- Feedback lasciato dall'acquirente.Ultimi 6 mesiAcquisto verificatoI gave 5 stars on shipping because i sent 2 separate emails + they responded with helpful info, even though it arrived late. This was a great value with free shipping + the condition is very good, better than advertised 🙂! The overall quality and appearance is excellent! I highly recommend this seller and give them 👍👍👍👍