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Hands–On Machine Learning with Scikit–Learn and TensorFlow - Geron, Aurelien
US $29,99
CircaEUR 25,85
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Oggetto che si trova a: Fairfield, Connecticut, Stati Uniti
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Consegna prevista tra il sab 19 lug e il mer 23 lug a 94104
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Numero oggetto eBay:156969033292
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Specifiche dell'oggetto
- Condizione
- Book Title
- Hands–On Machine Learning with Scikit–Learn and TensorFlow
- Genre
- Machine learning
- ISBN
- 9781491962299
Informazioni su questo prodotto
Product Identifiers
Publisher
O'reilly Media, Incorporated
ISBN-10
1491962291
ISBN-13
9781491962299
eBay Product ID (ePID)
227662629
Product Key Features
Number of Pages
572 Pages
Language
English
Publication Name
Hands-On Machine Learning with Scikit-Learn and TensorFlow : Concepts, Tools, and Techniques to Build Intelligent Systems
Subject
Intelligence (Ai) & Semantics, Data Processing, Computer Vision & Pattern Recognition
Publication Year
2017
Type
Textbook
Subject Area
Computers
Format
Trade Paperback
Dimensions
Item Height
1.1 in
Item Weight
34.8 Oz
Item Length
9.2 in
Item Width
7.1 in
Additional Product Features
Intended Audience
Trade
LCCN
2018-418542
Illustrated
Yes
Synopsis
Graphics in this book are printed in black and white . 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 Apply practical code examples without acquiring excessive machine learning theory or algorithm details, Graphics in this book are printed in black and white . 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 Apply practical code examples without acquiring excessive machine learning theory or algorithm details
LC Classification Number
Q325.5
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Next Chapter in the Journey
100% di Feedback positivi•5,2 mila oggetti venduti
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Feedback sul venditore (1.863)
- 8***n (7)- Feedback lasciato dall'acquirente.Mese scorsoAcquisto verificatoCD came in great condition, just as it was listed. reasonable shipping cost. very securely packaged. it got mixed up in transit, so i messaged the seller, 10/10 customer service! got everything sorted out and seller was very nice and polite. overall really really happy with my experience! also really glad to be able to support such a good cause as well!
- m***m (89)- Feedback lasciato dall'acquirente.Ultimi 6 mesiAcquisto verificatoNumber one seller for me, can’t find any better, 100% guarantee, shipping is the fastest, the packaging beautiful, like Christmas gift , items beautiful then as described, the value of the items has zero debate of what you offer, you will never regret buying here. The first seller who accept me offering right away. The best part it money go to donations. I never encounter the best seller like this one ever. I’ll buy all day long here long as they got an items looking for. Topnotch selRisposta di: nextchapterinthejourney- Feedback con risposta del venditore nextchapterinthejourney.- Feedback con risposta del venditore nextchapterinthejourney.How amazingly kind of you, thank you!
- s***p (158)- Feedback lasciato dall'acquirente.Mese scorsoAcquisto verificatoThis item came quickly and well packaged, Unfortunately the item was the wrong one, this seller immediately responded to my letting them know and refunded my money. I was also told not to send it back. I will gift this to a friend who is struggling with serious health issues as she so enjoys being in her kitchen when she is able to do so. I was disappointed but impressed with the response. I would definitely purchase from this seller again. Although not what I ordered, it is a beautiful ite