paperback. Condizione: New. Marques, Anthony; Bone, J. (illustratore). New item in gift quality condition. 99% of orders arrive in 4-10 days. Discounted shipping on multiple books.
EUR 52,66
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Aggiungi al carrelloCondizione: very good. Gently used. May include previous owner's signature or bookplate on the front endpaper, sticker on back and/or remainder mark on text block.
Condizione: New.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2019
ISBN 10: 1138499986 ISBN 13: 9781138499980
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. "This book is a great way to both start learning data science through the promising Julia language and to become an efficient data scientist."- Professor Charles Bouveyron, INRIA Chair in Data Science, Universite Cote dAzur, Nice, FranceJulia, an open-source programming language, was created to be as easy to use as languages such as R and Python while also as fast as C and Fortran. An accessible, intuitive, and highly efficient base language with speed that exceeds R and Python, makes Julia a formidable language for data science. Using well known data science methods that will motivate the reader, Data Science with Julia will get readers up to speed on key features of the Julia language and illustrate its facilities for data science and machine learning work.Features: Covers the core components of Julia as well as packages relevant to the input, manipulation and representation of data. Discusses several important topics in data science including supervised and unsupervised learning. Reviews data visualization using the Gadfly package, which was designed to emulate the very popular ggplot2 package in R. Readers will learn how to make many common plots and how to visualize model results. Presents how to optimize Julia code for performance. Will be an ideal source for people who already know R and want to learn how to use Julia (though no previous knowledge of R or any other programming language is required). The advantages of Julia for data science cannot be understated. Besides speed and ease of use, there are already over 1,900 packages available and Julia can interface (either directly or through packages) with libraries written in R, Python, Matlab, C, C++ or Fortran. The book is for senior undergraduates, beginning graduate students, or practicing data scientists who want to learn how to use Julia for data science."This book is a great way to both start learning data science through the promising Julia language and to become an efficient data scientist."Professor Charles BouveyronINRIA Chair in Data ScienceUniversite Cote dAzur, Nice, France There is a dearth of resources for data scientists, statisticians, etc., wishing to learn about Julia. Using well known data science methods, this book will both motivate the reader and assuage any unease. The book will get readers up to speed on key features of the Julia language and illustrate some of its advantages for data science work. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Condizione: As New. Unread book in perfect condition.
Condizione: New.
EUR 75,74
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Aggiungi al carrelloCondizione: New.
EUR 68,93
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Aggiungi al carrelloCondizione: New.
Condizione: As New. Unread book in perfect condition.
Condizione: New. 1st edition NO-PA16APR2015-KAP.
EUR 67,93
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 72,41
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
EUR 81,85
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Aggiungi al carrelloCondizione: New. pp. 240.
EUR 72,40
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EUR 77,72
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Aggiungi al carrelloCondizione: New. In.
EUR 79,40
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EUR 77,30
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Condizione: New. pp. 240.
EUR 81,16
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
EUR 81,14
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EUR 92,45
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Aggiungi al carrelloCondizione: New. pp. 240.
EUR 97,82
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Aggiungi al carrelloPaperback. Condizione: Brand New. 236 pages. 9.21x6.14x0.55 inches. In Stock.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2019
ISBN 10: 1138499986 ISBN 13: 9781138499980
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 89,54
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. "This book is a great way to both start learning data science through the promising Julia language and to become an efficient data scientist."- Professor Charles Bouveyron, INRIA Chair in Data Science, Universite Cote dAzur, Nice, FranceJulia, an open-source programming language, was created to be as easy to use as languages such as R and Python while also as fast as C and Fortran. An accessible, intuitive, and highly efficient base language with speed that exceeds R and Python, makes Julia a formidable language for data science. Using well known data science methods that will motivate the reader, Data Science with Julia will get readers up to speed on key features of the Julia language and illustrate its facilities for data science and machine learning work.Features: Covers the core components of Julia as well as packages relevant to the input, manipulation and representation of data. Discusses several important topics in data science including supervised and unsupervised learning. Reviews data visualization using the Gadfly package, which was designed to emulate the very popular ggplot2 package in R. Readers will learn how to make many common plots and how to visualize model results. Presents how to optimize Julia code for performance. Will be an ideal source for people who already know R and want to learn how to use Julia (though no previous knowledge of R or any other programming language is required). The advantages of Julia for data science cannot be understated. Besides speed and ease of use, there are already over 1,900 packages available and Julia can interface (either directly or through packages) with libraries written in R, Python, Matlab, C, C++ or Fortran. The book is for senior undergraduates, beginning graduate students, or practicing data scientists who want to learn how to use Julia for data science."This book is a great way to both start learning data science through the promising Julia language and to become an efficient data scientist."Professor Charles BouveyronINRIA Chair in Data ScienceUniversite Cote dAzur, Nice, France There is a dearth of resources for data scientists, statisticians, etc., wishing to learn about Julia. Using well known data science methods, this book will both motivate the reader and assuage any unease. The book will get readers up to speed on key features of the Julia language and illustrate some of its advantages for data science work. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
EUR 75,52
Quantità: Più di 20 disponibili
Aggiungi al carrelloEinband - flex.(Paperback). Condizione: New. This is a great overview of the field of model-based clustering and classification by one of its leading developers. McNicholas provides a resource that I am certain will be used by researchers in statistics and related disciplines for quite some ti.
EUR 78,75
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Paul D. McNicholas is the Canada Research Chair in Computational Statistics at McMaster University, where he is a Professor in the Department of Mathematics and Statistics. Peter Tait is a Ph.D. student at the Department of.
EUR 121,17
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 217 pages. 8.25x5.50x0.50 inches. In Stock.
EUR 63,15
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Mixture Model-Based Classification | Paul D. McNicholas | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2020 | Taylor & Francis Ltd | EAN 9780367736958 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Condizione: New.
EUR 130,19
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. 210.
Condizione: New. pp. 210.