Condizione: Acceptable. PLEASE NOTE: FORMER LIBRARY BOOK. IT MAY HAVE IDENTIFYING STAMPS, MARKS, STICKERS, ETC. Former Library book. Paperback 100% of proceeds go to charity! Acceptable reading copy with obvious signs of use, wear, and/or cosmetic issues. Item is complete and remains readable despite notable condition issues.
Lingua: Inglese
Editore: O'Reilly Media, Incorporated, 2017
ISBN 10: 1491934115 ISBN 13: 9781491934111
Da: Better World Books, Mishawaka, IN, U.S.A.
Condizione: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Da: Ammareal, Morangis, Francia
EUR 18,06
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Aggiungi al carrelloSoftcover. Condizione: Très bon. Ancien livre de bibliothèque avec équipements. Edition 2017. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 2017. Ammareal gives back up to 15% of this item's net price to charity organizations.
EUR 38,80
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Condizione: New.
Condizione: As New. Unread book in perfect condition.
Da: GoldBooks, Denver, CO, U.S.A.
Paperback. Condizione: new. New Copy. Customer Service Guaranteed.
EUR 50,32
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Aggiungi al carrelloPaperback. Condizione: New. Data Science is booming thanks to R and Python, but Java brings the robustness, convenience, and ability to scale critical to today's data science applications. With this practical book, Java software engineers looking to add data science skills will take a logical journey through the data science pipeline. Author Michael Brzustowicz explains the basic math theory behind each step of the data science process, as well as how to apply these concepts with Java.You'll learn the critical roles that data IO, linear algebra, statistics, data operations, learning and prediction, and Hadoop MapReduce play in the process. Throughout this book, you'll find code examples you can use in your applications.Examine methods for obtaining, cleaning, and arranging data into its purest formUnderstand the matrix structure that your data should takeLearn basic concepts for testing the origin and validity of dataTransform your data into stable and usable numerical valuesUnderstand supervised and unsupervised learning algorithms, and methods for evaluating their successGet up and running with MapReduce, using customized components suitable for data science algorithms.
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condizione: New. Data Science with Java: Practical Methods for Scientists and Engineers. Book.
EUR 54,78
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Aggiungi al carrelloPaperback. Condizione: New. Data Science is booming thanks to R and Python, but Java brings the robustness, convenience, and ability to scale critical to today's data science applications. With this practical book, Java software engineers looking to add data science skills will take a logical journey through the data science pipeline. Author Michael Brzustowicz explains the basic math theory behind each step of the data science process, as well as how to apply these concepts with Java.You'll learn the critical roles that data IO, linear algebra, statistics, data operations, learning and prediction, and Hadoop MapReduce play in the process. Throughout this book, you'll find code examples you can use in your applications.Examine methods for obtaining, cleaning, and arranging data into its purest formUnderstand the matrix structure that your data should takeLearn basic concepts for testing the origin and validity of dataTransform your data into stable and usable numerical valuesUnderstand supervised and unsupervised learning algorithms, and methods for evaluating their successGet up and running with MapReduce, using customized components suitable for data science algorithms.
EUR 38,79
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Aggiungi al carrelloCondizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 45,23
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Da: Chiron Media, Wallingford, Regno Unito
EUR 41,58
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Aggiungi al carrelloPaperback. Condizione: New.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Prima edizione
EUR 48,89
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Aggiungi al carrelloCondizione: New. . 2017. 1st Edition. Paperback. . . . .
EUR 45,55
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 47,40
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Aggiungi al carrelloPaperback. Condizione: New. New copy - Usually dispatched within 4 working days.
Condizione: New. . 2017. 1st Edition. Paperback. . . . . Books ship from the US and Ireland.
EUR 39,79
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Aggiungi al carrelloCondizione: NEW.
Da: Revaluation Books, Exeter, Regno Unito
EUR 79,11
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Aggiungi al carrelloPaperback. Condizione: Brand New. 300 pages. 9.25x7.00x0.50 inches. In Stock.
EUR 55,69
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Aggiungi al carrelloPaperback. Condizione: New. Data Science is booming thanks to R and Python, but Java brings the robustness, convenience, and ability to scale critical to today's data science applications. With this practical book, Java software engineers looking to add data science skills will take a logical journey through the data science pipeline. Author Michael Brzustowicz explains the basic math theory behind each step of the data science process, as well as how to apply these concepts with Java.You'll learn the critical roles that data IO, linear algebra, statistics, data operations, learning and prediction, and Hadoop MapReduce play in the process. Throughout this book, you'll find code examples you can use in your applications.Examine methods for obtaining, cleaning, and arranging data into its purest formUnderstand the matrix structure that your data should takeLearn basic concepts for testing the origin and validity of dataTransform your data into stable and usable numerical valuesUnderstand supervised and unsupervised learning algorithms, and methods for evaluating their successGet up and running with MapReduce, using customized components suitable for data science algorithms.
EUR 52,91
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Aggiungi al carrelloCondizione: New. Über den AutorrnrnMichael Brzustowicz is a physicist turned data scientist. After a PhD from Indiana University, Michael spent his post doctoral years at Stanford University where he shot high powered Xrays at tiny molecules. Jumpin.
EUR 45,63
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Aggiungi al carrelloPaperback. Condizione: New. Data Science is booming thanks to R and Python, but Java brings the robustness, convenience, and ability to scale critical to today's data science applications. With this practical book, Java software engineers looking to add data science skills will take a logical journey through the data science pipeline. Author Michael Brzustowicz explains the basic math theory behind each step of the data science process, as well as how to apply these concepts with Java.You'll learn the critical roles that data IO, linear algebra, statistics, data operations, learning and prediction, and Hadoop MapReduce play in the process. Throughout this book, you'll find code examples you can use in your applications.Examine methods for obtaining, cleaning, and arranging data into its purest formUnderstand the matrix structure that your data should takeLearn basic concepts for testing the origin and validity of dataTransform your data into stable and usable numerical valuesUnderstand supervised and unsupervised learning algorithms, and methods for evaluating their successGet up and running with MapReduce, using customized components suitable for data science algorithms.
EUR 60,71
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - Data Science is booming thanks to R and Python, but Java brings the robustness, convenience, and ability to scale critical to today's data science applications. With this practical book, Java software engineers looking to add data science skills will take a logical journey through the data science pipeline. Author Michael Brzustowicz explains the basic math theory behind each step of the data science process, as well as how to apply these concepts with Java. You'll learn the critical roles that data IO, linear algebra, statistics, data operations, learning and prediction, and Hadoop MapReduce play in the process. Throughout this book, you'll find code examples you can use in your applications. Examine methods for obtaining, cleaning, and arranging data into its purest formUnderstand the matrix structure that your data should takeLearn basic concepts for testing the origin and validity of dataTransform your data into stable and usable numerical valuesUnderstand supervised and unsupervised learning algorithms, and methods for evaluating their successGet up and running with MapReduce, using customized components suitable for data science algorithms.
EUR 59,50
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Data Science with Java | Michael Brzustowicz | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2017 | O'Reilly Media | EAN 9781491934111 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
EUR 84,86
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Aggiungi al carrellopaperback. Condizione: New. Paperback. Pub Date: 2020-04-01 Pages: 186 Language: Chinese Publisher: People Post Press Java real scientific data based on clear. object-oriented Java code. discussed some of the basic principles of scientific research data. Taking into account the desired item scalability. robustness and convenience. Java is an ideal .
Da: Revaluation Books, Exeter, Regno Unito
EUR 53,64
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 300 pages. 9.25x7.00x0.50 inches. In Stock. This item is printed on demand.