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Mastering Java Data Science by Grigorev Alexey (22 results)
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Condition: As New. Unread book in perfect condition.
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Condition: New.
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Condition: New. pp. 364.
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Mastering Java for Data Science
Published by Packt Publishing Limited, 2023
ISBN 10: 1782174273 ISBN 13: 9781782174271
Language: English
UNK. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Mastering Java for Data Science: Analytics and more for production-ready applications
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Mastering Java for Data Science
Published by Packt Publishing Limited, 2023
ISBN 10: 1782174273 ISBN 13: 9781782174271
Language: English
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
UNK. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Mastering Java for Data Science: Analytics and more for production-ready applications
Published by Packt Publishing 2017-04-27, 2017
ISBN 10: 1782174273 ISBN 13: 9781782174271
Language: English
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Mastering Java for Data Science
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Mastering Java for Data Science: Analytics and more for production-ready applications
Published by Packt Publishing 2017-04-27, 2017
ISBN 10: 1782174273 ISBN 13: 9781782174271
Language: English
US$ 62.78
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Mastering Java for Data Science
Published by Packt Publishing Limited, GB, 2023
ISBN 10: 1782174273 ISBN 13: 9781782174271
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Digital. Condition: New. Use Java to create a diverse range of Data Science applications and bring Data Science into productionAbout This Book. An overview of modern Data Science and Machine Learning libraries available in Java. Coverage of a broad set of topics, going from the basics of Machine Learning to Deep Learning and Big Data frameworks. Easy-to-follow illustrations and the running example of building a search engine.Who This Book Is ForThis book is intended for software engineers who are comfortable with developing Java applications and are familiar with the basic concepts of data science. Additionally, it will also be useful for data scientists who do not yet know Java but want or need to learn it.If you are willing to build efficient data science applications and bring them in the enterprise environment without changing the existing stack, this book is for you!What You Will Learn. Get a solid understanding of the data processing toolbox available in Java. Explore the data science ecosystem available in Java. Find out how to approach different machine learning problems with Java. Process unstructured information such as natural language text or images. Create your own search engine. Get state-of-the-art performance with XGBoost. Learn how to build deep neural networks with DeepLearning4j. Build applications that scale and process large amounts of data. Deploy data science models to production and evaluate their performanceIn DetailJava is the most popular programming language, according to the TIOBE index, and it is a typical choice for running production systems in many companies, both in the startup world and among large enterprises.Not surprisingly, it is also a common choice for creating data science applications: it is fast and has a great set of data processing tools, both built-in and external. What is more, choosing Java for data science allows you to easily integrate solutions with existing software, and bring data science into production with less effort.This book will teach you how to create data science applications with Java. First, we will revise the most important things when starting a data science application, and then brush up the basics of Java and machine learning before diving into more advanced topics. We start by going over the existing libraries for data processing and libraries with machine learning algorithms. After that, we cover topics such as classification and regression, dimensionality reduction and clustering, information retrieval and natural language processing, and deep learning and big data.Finally, we finish the book by talking about the ways to deploy the model and evaluate it in production settings.Style and approachThis is a practical guide where all the important concepts such as classification, regression, and dimensionality reduction are explained with the help of examples.
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Mastering Java for Data Science
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Mastering Java for Data Science: Analytics and more for production-ready applications
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
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Condition: New. 2017. Paperback. . . . . .
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Condition: New. 2017. Paperback. . . . . . Books ship from the US and Ireland.
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Condition: New.
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Mastering Java for Data Science
Published by Packt Publishing Limited, GB, 2023
ISBN 10: 1782174273 ISBN 13: 9781782174271
Language: English
US$ 80.94
US$ 85.93 shipping
Ships from United Kingdom to U.S.A.Quantity: 1 available
Add to basketDigital. Condition: New. Use Java to create a diverse range of Data Science applications and bring Data Science into productionAbout This Book. An overview of modern Data Science and Machine Learning libraries available in Java. Coverage of a broad set of topics, going from the basics of Machine Learning to Deep Learning and Big Data frameworks. Easy-to-follow illustrations and the running example of building a search engine.Who This Book Is ForThis book is intended for software engineers who are comfortable with developing Java applications and are familiar with the basic concepts of data science. Additionally, it will also be useful for data scientists who do not yet know Java but want or need to learn it.If you are willing to build efficient data science applications and bring them in the enterprise environment without changing the existing stack, this book is for you!What You Will Learn. Get a solid understanding of the data processing toolbox available in Java. Explore the data science ecosystem available in Java. Find out how to approach different machine learning problems with Java. Process unstructured information such as natural language text or images. Create your own search engine. Get state-of-the-art performance with XGBoost. Learn how to build deep neural networks with DeepLearning4j. Build applications that scale and process large amounts of data. Deploy data science models to production and evaluate their performanceIn DetailJava is the most popular programming language, according to the TIOBE index, and it is a typical choice for running production systems in many companies, both in the startup world and among large enterprises.Not surprisingly, it is also a common choice for creating data science applications: it is fast and has a great set of data processing tools, both built-in and external. What is more, choosing Java for data science allows you to easily integrate solutions with existing software, and bring data science into production with less effort.This book will teach you how to create data science applications with Java. First, we will revise the most important things when starting a data science application, and then brush up the basics of Java and machine learning before diving into more advanced topics. We start by going over the existing libraries for data processing and libraries with machine learning algorithms. After that, we cover topics such as classification and regression, dimensionality reduction and clustering, information retrieval and natural language processing, and deep learning and big data.Finally, we finish the book by talking about the ways to deploy the model and evaluate it in production settings.Style and approachThis is a practical guide where all the important concepts such as classification, regression, and dimensionality reduction are explained with the help of examples.
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Condition: New. Print on Demand pp. 364.
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Condition: New. PRINT ON DEMAND pp. 364.
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Add to basketPaperback. Condition: Brand New. 364 pages. 9.25x7.50x0.82 inches. In Stock. This item is printed on demand.
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Mastering Java for Data Science
Published by Packt Publishing Limited, 2017
ISBN 10: 1782174273 ISBN 13: 9781782174271
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 785.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.
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Taschenbuch. Condition: Neu. Mastering Java for Data Science | Alexey Grigorev | Taschenbuch | Kartoniert / Broschiert | Englisch | 2017 | Packt Publishing | EAN 9781782174271 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
