Da: Books Puddle, New York, NY, U.S.A.
EUR 22,86
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 37,37
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Editore: Bpb Publications 10/17/2022, 2022
ISBN 10: 939139213X ISBN 13: 9789391392130
Lingua: Inglese
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
EUR 41,08
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Aggiungi al carrelloPaperback or Softback. Condizione: New. Practical Machine Learning with Spark: Uncover Apache Spark's Scalable Performance with High-Quality Algorithms Across NLP, Computer Vision and ML (En 1.87. Book.
Da: California Books, Miami, FL, U.S.A.
EUR 41,77
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Da: Russell Books, Victoria, BC, Canada
EUR 44,55
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Aggiungi al carrellopaperback. Condizione: New. Special order direct from the distributor.
Da: Chiron Media, Wallingford, Regno Unito
EUR 38,72
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 43,88
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Da: Buchpark, Trebbin, Germania
EUR 29,46
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Aggiungi al carrelloCondizione: Hervorragend. Zustand: Hervorragend | Seiten: 500 | Sprache: Englisch | Produktart: Bücher.
EUR 48,26
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Da: Majestic Books, Hounslow, Regno Unito
EUR 20,69
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 21,68
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Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 51,42
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 44,57
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Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 57,68
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Explore the cosmic secrets of Distributed Processing for Deep Learning applications. KEY FEATURES ¿In-depth practical demonstration of ML/DL concepts using Distributed Framework. ¿ Covers graphical illustrations and visual explanations for ML/DL pipelines. ¿ Includes live codebase for each of NLP, computer vision and machine learning applications. DESCRIPTION This book provides the reader with an up-to-date explanation of Machine Learning and an in-depth, comprehensive, and straightforward understanding of the architectural techniques used to evaluate and anticipate the futuristic insights of data using Apache Spark. The book walks readers by setting up Hadoop and Spark installations on-premises, Docker, and AWS. Readers will learn about Spark MLib and how to utilize it in supervised and unsupervised machine learning scenarios. With the help of Spark, some of the most prominent technologies, such as natural language processing and computer vision, are evaluated and demonstrated in a realistic setting. Using the capabilities of Apache Spark, this book discusses the fundamental components that underlie each of these natural language processing, computer vision, and machine learning technologies, as well as how you can incorporate these technologies into your business processes. Towards the end of the book, readers will learn about several deep learning frameworks, such as TensorFlow and PyTorch. Readers will also learn to execute distributed processing of deep learning problems using the Spark programming language. WHAT YOU WILL LEARN ¿ Learn how to get started with machine learning projects using Spark. ¿ Witness how to use Spark MLib's design for machine learning and deep learning operations. ¿ Use Spark in tasks involving NLP, unsupervised learning, and computer vision. ¿ Experiment with Spark in a cloud environment and with AI pipeline workflows. ¿ Run deep learning applications on a distributed network. WHO THIS BOOK IS FOR This book is valuable for data engineers, machine learning engineers, data scientists, data architects, business analysts, and technical consultants worldwide. It would be beneficial to have some familiarity with the fundamentals of Hadoop and Python.