EUR 4,43
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierpaperback. Etat : Very Good. Marques, Anthony; Bone, J. (illustrateur). Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
EUR 5,74
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierpaperback. Etat : Very Good. Marques, Anthony; Bone, J. (illustrateur). Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
EUR 13,40
Autre deviseQuantité disponible : 15 disponible(s)
Ajouter au panierEtat : As New. Marques, Anthony; Bone, J. (illustrateur). Unread book in perfect condition.
EUR 13,46
Autre deviseQuantité disponible : 15 disponible(s)
Ajouter au panierEtat : New. Marques, Anthony; Bone, J. (illustrateur).
EUR 28,62
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierpaperback. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
EUR 51,91
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierEtat : 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.
Edité par Taylor & Francis Ltd, London, 2019
ISBN 10 : 1138499986 ISBN 13 : 9781138499980
Langue: anglais
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
EUR 63,32
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : 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.
EUR 66,19
Autre deviseQuantité disponible : 3 disponible(s)
Ajouter au panierEtat : New.
EUR 74,22
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Ajouter au panierEtat : New. 1st edition NO-PA16APR2015-KAP.
EUR 75,80
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Ajouter au panierEtat : New. pp. 210.
EUR 75,82
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Ajouter au panierEtat : New. pp. 240.
EUR 77,27
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Ajouter au panierEtat : New. pp. 210.
EUR 82,09
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Ajouter au panierEtat : New. pp. 240.
EUR 71,39
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Ajouter au panierPaperback / softback. Etat : New. New copy - Usually dispatched within 4 working days. 185.
EUR 76,08
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Ajouter au panierEtat : New.
EUR 79,30
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Ajouter au panierEtat : New. pp. 210.
EUR 81,65
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Ajouter au panierPaperback / softback. Etat : New. New copy - Usually dispatched within 4 working days.
EUR 86,19
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Ajouter au panierEtat : New. pp. 240.
Edité par Taylor & Francis Ltd, London, 2019
ISBN 10 : 1138499986 ISBN 13 : 9781138499980
Langue: anglais
Vendeur : AussieBookSeller, Truganina, VIC, Australie
EUR 76,90
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : 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 73,23
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierKartoniert / Broschiert. Etat : 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 98,12
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : Brand New. 236 pages. 9.21x6.14x0.55 inches. In Stock.
Edité par Apple Academic Press Inc., 2016
ISBN 10 : 1482225662 ISBN 13 : 9781482225662
Langue: anglais
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
EUR 115,13
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierHardback. Etat : New. New copy - Usually dispatched within 4 working days. 511.
EUR 113,46
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : Brand New. 217 pages. 8.25x5.50x0.50 inches. In Stock.
EUR 127,64
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierHardcover. Etat : Brand New. 212 pages. 9.25x6.25x0.75 inches. In Stock.
Edité par Chapman and Hall/CRC 2018-12-07, 2018
ISBN 10 : 1138499994 ISBN 13 : 9781138499997
Langue: anglais
Vendeur : Chiron Media, Wallingford, Royaume-Uni
EUR 140,56
Autre deviseQuantité disponible : 5 disponible(s)
Ajouter au panierHardcover. Etat : New.
EUR 133,96
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierHardcover. Etat : Like New. Like New. book.
EUR 115,70
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : 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 200,56
Autre deviseQuantité disponible : 3 disponible(s)
Ajouter au panierEtat : New.
EUR 141,53
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierBuch. Etat : Neu. Neuware - This work addresses classification using mixture models broadly. Unlike traditional treatments of the subject that heavily focus on unsupervised approaches, this book gives attention to unsupervised, semi-supervised, and supervised classification paradigms. Case studies illustrate both non-Gaussian and Gaussian approaches to model selection.
EUR 208,37
Autre deviseQuantité disponible : 3 disponible(s)
Ajouter au panierEtat : New.