Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: Lakeside Books, Benton Harbor, MI, U.S.A.
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Da: BargainBookStores, Grand Rapids, MI, U.S.A.
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Aggiungi al carrelloPaperback or Softback. Condizione: New. Advanced Data Analytics Using Python: With Architectural Patterns, Text and Image Classification, and Optimization Techniques 0.84. Book.
Da: California Books, Miami, FL, U.S.A.
EUR 33,10
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 31,36
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Da: Big River Books, Powder Springs, GA, U.S.A.
EUR 43,48
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Aggiungi al carrelloCondizione: good. This book is in good condition. The cover has minor creases or bends. The binding is tight and pages are intact. Some pages may have writing or highlighting.
ISBN 10: 1484293940 ISBN 13: 9781484293942
Da: Basi6 International, Irving, TX, U.S.A.
EUR 25,15
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Aggiungi al carrelloCondizione: Brand New. New.SoftCover International edition. Different ISBN and Cover image but contents are same as US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 39,17
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Da: Chiron Media, Wallingford, Regno Unito
EUR 36,70
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 37,36
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 38,84
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Da: Books Puddle, New York, NY, U.S.A.
EUR 53,31
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Aggiungi al carrelloCondizione: New. 2nd ed. edition NO-PA16APR2015-KAP.
Da: Majestic Books, Hounslow, Regno Unito
EUR 50,62
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EUR 60,86
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Aggiungi al carrelloPaperback. Condizione: New. 2nd ed. Understand advanced data analytics concepts such as time series and principal component analysis with ETL, supervised learning, and PySpark using Python. This book covers architectural patterns in data analytics, text and image classification, optimization techniques, natural language processing, and computer vision in the cloud environment.Generic design patterns in Python programming is clearly explained, emphasizing architectural practices such as hot potato anti-patterns. You'll review recent advances in databases such as Neo4j, Elasticsearch, and MongoDB. You'll then study feature engineering in images and texts with implementing business logic and see how to build machine learning and deep learning models using transfer learning. Advanced Analytics with Python, 2nd edition features a chapter on clustering with a neural network, regularization techniques, and algorithmic design patterns in data analyticswith reinforcement learning. Finally, the recommender system in PySpark explains how to optimize models for a specific application. What You'll LearnBuild intelligent systems for enterpriseReview time series analysis, classifications, regression, and clusteringExplore supervised learning, unsupervised learning, reinforcement learning, and transfer learning Use cloud platforms like GCP and AWS in data analyticsUnderstand Covers design patterns in Python Who This Book Is ForData scientists and software developers interested in the field of data analytics.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 47,98
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Da: Chiron Media, Wallingford, Regno Unito
EUR 43,91
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Da: Chiron Media, Wallingford, Regno Unito
EUR 44,29
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EUR 63,12
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Aggiungi al carrelloPaperback. Condizione: New. 2nd ed. Understand advanced data analytics concepts such as time series and principal component analysis with ETL, supervised learning, and PySpark using Python. This book covers architectural patterns in data analytics, text and image classification, optimization techniques, natural language processing, and computer vision in the cloud environment.Generic design patterns in Python programming is clearly explained, emphasizing architectural practices such as hot potato anti-patterns. You'll review recent advances in databases such as Neo4j, Elasticsearch, and MongoDB. You'll then study feature engineering in images and texts with implementing business logic and see how to build machine learning and deep learning models using transfer learning. Advanced Analytics with Python, 2nd edition features a chapter on clustering with a neural network, regularization techniques, and algorithmic design patterns in data analyticswith reinforcement learning. Finally, the recommender system in PySpark explains how to optimize models for a specific application. What You'll LearnBuild intelligent systems for enterpriseReview time series analysis, classifications, regression, and clusteringExplore supervised learning, unsupervised learning, reinforcement learning, and transfer learning Use cloud platforms like GCP and AWS in data analyticsUnderstand Covers design patterns in Python Who This Book Is ForData scientists and software developers interested in the field of data analytics.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 54,02
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Aggiungi al carrelloCondizione: New. 2022. 2nd ed. Paperback. . . . . .
Da: StainesBook, Weybridge, SURRE, Regno Unito
EUR 31,84
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 60,13
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Da: Revaluation Books, Exeter, Regno Unito
EUR 43,74
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Aggiungi al carrelloPaperback. Condizione: Brand New. 2nd edition. 266 pages. 9.25x6.10x0.56 inches. In Stock.
Da: Kennys Bookstore, Olney, MD, U.S.A.
EUR 65,04
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Aggiungi al carrelloCondizione: New. 2022. 2nd ed. Paperback. . . . . . Books ship from the US and Ireland.
EUR 38,85
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EUR 52,15
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Aggiungi al carrelloKartoniert / Broschiert. Condizione: New. Über den AutorrnrnSayan Mukhopadhyay is a data scientist with more than 13 years of experience. He has been associated with companies such as Credit-Suisse, PayPal, CA Technology, CSC, and Mphasis. He has a deep understanding of data a.
EUR 65,06
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Aggiungi al carrelloPaperback. Condizione: New. 2nd ed. Understand advanced data analytics concepts such as time series and principal component analysis with ETL, supervised learning, and PySpark using Python. This book covers architectural patterns in data analytics, text and image classification, optimization techniques, natural language processing, and computer vision in the cloud environment.Generic design patterns in Python programming is clearly explained, emphasizing architectural practices such as hot potato anti-patterns. You'll review recent advances in databases such as Neo4j, Elasticsearch, and MongoDB. You'll then study feature engineering in images and texts with implementing business logic and see how to build machine learning and deep learning models using transfer learning. Advanced Analytics with Python, 2nd edition features a chapter on clustering with a neural network, regularization techniques, and algorithmic design patterns in data analyticswith reinforcement learning. Finally, the recommender system in PySpark explains how to optimize models for a specific application. What You'll LearnBuild intelligent systems for enterpriseReview time series analysis, classifications, regression, and clusteringExplore supervised learning, unsupervised learning, reinforcement learning, and transfer learning Use cloud platforms like GCP and AWS in data analyticsUnderstand Covers design patterns in Python Who This Book Is ForData scientists and software developers interested in the field of data analytics.
EUR 56,19
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Aggiungi al carrelloPaperback. Condizione: New. 2nd ed. Understand advanced data analytics concepts such as time series and principal component analysis with ETL, supervised learning, and PySpark using Python. This book covers architectural patterns in data analytics, text and image classification, optimization techniques, natural language processing, and computer vision in the cloud environment.Generic design patterns in Python programming is clearly explained, emphasizing architectural practices such as hot potato anti-patterns. You'll review recent advances in databases such as Neo4j, Elasticsearch, and MongoDB. You'll then study feature engineering in images and texts with implementing business logic and see how to build machine learning and deep learning models using transfer learning. Advanced Analytics with Python, 2nd edition features a chapter on clustering with a neural network, regularization techniques, and algorithmic design patterns in data analyticswith reinforcement learning. Finally, the recommender system in PySpark explains how to optimize models for a specific application. What You'll LearnBuild intelligent systems for enterpriseReview time series analysis, classifications, regression, and clusteringExplore supervised learning, unsupervised learning, reinforcement learning, and transfer learning Use cloud platforms like GCP and AWS in data analyticsUnderstand Covers design patterns in Python Who This Book Is ForData scientists and software developers interested in the field of data analytics.
Da: Revaluation Books, Exeter, Regno Unito
EUR 109,66
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Aggiungi al carrelloPaperback. Condizione: Brand New. 186 pages. 9.00x6.00x0.50 inches. In Stock.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 51,73
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.