Da: medimops, Berlin, Germania
EUR 50,06
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloCondizione: very good. 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.
Da: LeLivreVert, Eysines, Francia
EUR 49,06
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Aggiungi al carrelloCondizione: good. Photo non contractuelle. Envoi rapide et soigné.
EUR 56,15
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
EUR 52,16
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
EUR 48,78
Convertire valutaQuantità: 5 disponibili
Aggiungi al carrelloPaperback or Softback. Condizione: New. Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data 1.2. Book.
Da: California Books, Miami, FL, U.S.A.
EUR 59,67
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 50,20
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Aggiungi al carrelloCondizione: New.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Prima edizione
EUR 65,64
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Aggiungi al carrelloCondizione: New. 2019. 1st Edition. Paperback. . . . . .
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 52,15
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Aggiungi al carrelloCondizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 60,88
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Aggiungi al carrelloCondizione: New. In.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 61,66
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days. 645.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 58,65
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 60,74
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: SecondSale, Montgomery, IL, U.S.A.
EUR 48,76
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Aggiungi al carrelloCondizione: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
Da: moluna, Greven, Germania
EUR 69,35
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Aggiungi al carrelloCondizione: New. Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general artificial intelligence. Author Ankur Patel shows you how to apply unsupervised learning using two simple, production-rea.
Da: Kennys Bookstore, Olney, MD, U.S.A.
EUR 80,88
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Aggiungi al carrelloCondizione: New. 2019. 1st Edition. Paperback. . . . . . Books ship from the US and Ireland.
Da: Revaluation Books, Exeter, Regno Unito
EUR 78,94
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Aggiungi al carrelloPaperback. Condizione: Brand New. 337 pages. 9.00x7.00x0.75 inches. In Stock.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 80,95
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to the holy grail in AI research, the so-called general artificial intelligence. Since the majority of the world's data is unlabeled, conventional supervised learning cannot be applied; this is where unsupervised learning comes in. Unsupervised learning can be applied to unlabeled datasets to discover meaningful patterns buried deep in the data, patterns that may be near impossible for humans to uncover. Author Ankur Patel provides practical knowledge on how to apply unsupervised learning using two simple, production-ready Python frameworks - scikit-learn and TensorFlow using Keras. With the hands-on examples and code provided, you will identify difficult-to-find patterns in data and gain deeper business insight, detect anomalies, perform automatic feature engineering and selection, and generate synthetic datasets. All you need is programming and some machine learning experience to get started.
Da: Lakeside Books, Benton Harbor, MI, U.S.A.
EUR 48,99
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: 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!
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 52,27
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Editore: O'Reilly Media, Sebastopol, 2019
ISBN 10: 1492035645 ISBN 13: 9781492035640
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 100,38
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general artificial intelligence. Since the majority of the world's data is unlabeled, conventional supervised learning cannot be applied. Unsupervised learning, on the other hand, can be applied to unlabeled datasets to discover meaningful patterns buried deep in the data, patterns that may be near impossible for humans to uncover. Author Ankur Patel shows you how to apply unsupervised learning using two simple, production-ready Python frameworks: Scikit-learn and TensorFlow using Keras. With code and hands-on examples, data scientists will identify difficult-to-find patterns in data and gain deeper business insight, detect anomalies, perform automatic feature engineering and selection, and generate synthetic datasets. All you need is programming and some machine learning experience to get started. Compare the strengths and weaknesses of the different machine learning approaches: supervised, unsupervised, and reinforcement learning Set up and manage machine learning projects end-to-end Build an anomaly detection system to catch credit card fraud Clusters users into distinct and homogeneous groups Perform semisupervised learning Develop movie recommender systems using restricted Boltzmann machines Generate synthetic images using generative adversarial networks" Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general artificial intelligence. Author Ankur Patel shows you how to apply unsupervised learning using two simple, production-ready Python frameworks: Scikit-learn and TensorFlow using Keras. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Editore: O'Reilly Media, Sebastopol, 2019
ISBN 10: 1492035645 ISBN 13: 9781492035640
Lingua: Inglese
Da: Grand Eagle Retail, Fairfield, OH, U.S.A.
EUR 66,35
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general artificial intelligence. Since the majority of the world's data is unlabeled, conventional supervised learning cannot be applied. Unsupervised learning, on the other hand, can be applied to unlabeled datasets to discover meaningful patterns buried deep in the data, patterns that may be near impossible for humans to uncover. Author Ankur Patel shows you how to apply unsupervised learning using two simple, production-ready Python frameworks: Scikit-learn and TensorFlow using Keras. With code and hands-on examples, data scientists will identify difficult-to-find patterns in data and gain deeper business insight, detect anomalies, perform automatic feature engineering and selection, and generate synthetic datasets. All you need is programming and some machine learning experience to get started. Compare the strengths and weaknesses of the different machine learning approaches: supervised, unsupervised, and reinforcement learning Set up and manage machine learning projects end-to-end Build an anomaly detection system to catch credit card fraud Clusters users into distinct and homogeneous groups Perform semisupervised learning Develop movie recommender systems using restricted Boltzmann machines Generate synthetic images using generative adversarial networks" Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general artificial intelligence. Author Ankur Patel shows you how to apply unsupervised learning using two simple, production-ready Python frameworks: Scikit-learn and TensorFlow using Keras. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 111,30
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New. New. book.
Da: Revaluation Books, Exeter, Regno Unito
EUR 74,26
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 337 pages. 9.00x7.00x0.75 inches. In Stock. This item is printed on demand.