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paperback. Condition: Very Good. Marques, Anthony; Bone, J. (illustrator). 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!
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paperback. Condition: Very Good. Marques, Anthony; Bone, J. (illustrator). 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!
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Condition: New. Marques, Anthony; Bone, J. (illustrator).
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Condition: As New. Marques, Anthony; Bone, J. (illustrator). Unread book in perfect condition.
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Data Science with Julia
Language: English
Published by Chapman and Hall/CRC, 2019
ISBN 10: 1138499986 ISBN 13: 9781138499980
paperback. Condition: 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!
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Data Science with Julia
Language: English
Published by Chapman and Hall/CRC, 2019
ISBN 10: 1138499986 ISBN 13: 9781138499980
Condition: 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.
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Condition: As New. Unread book in perfect condition.
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Data Science with Julia (Paperback)
Language: English
Published by Taylor & Francis Ltd, London, 2019
ISBN 10: 1138499986 ISBN 13: 9781138499980
Paperback. Condition: 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.
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Data Science with Julia
Language: English
Published by Chapman and Hall/CRC, 2019
ISBN 10: 1138499986 ISBN 13: 9781138499980
Condition: New.
-
Data Science with Julia
Language: English
Published by Chapman and Hall/CRC, 2019
ISBN 10: 1138499986 ISBN 13: 9781138499980
Condition: As New. Unread book in perfect condition.
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Condition: New.
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Condition: New.
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Mixture Model-based Classification
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Data Science with Julia
Language: English
Published by Chapman and Hall/CRC, 2019
ISBN 10: 1138499986 ISBN 13: 9781138499980
Condition: New. pp. 240.
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Mixture Model-Based Classification
Language: English
Published by Taylor & Francis Ltd, 2020
ISBN 10: 0367736950 ISBN 13: 9780367736958
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 185.
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Data Science with Julia
Language: English
Published by Chapman and Hall/CRC, 2019
ISBN 10: 1138499986 ISBN 13: 9781138499980
Condition: New. pp. 240.
-
Mixture Model-Based Classification
Language: English
Published by Taylor & Francis Group, 2016
ISBN 10: 1482225662 ISBN 13: 9781482225662
Condition: New. pp. 210.
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Mixture Model-based Classification
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
-
Condition: New.
-
Data Science with Julia
Language: English
Published by Chapman and Hall/CRC, 2019
ISBN 10: 1138499986 ISBN 13: 9781138499980
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
-
Mixture Model-Based Classification
Language: English
Published by Taylor & Francis Group, 2016
ISBN 10: 1482225662 ISBN 13: 9781482225662
Condition: New. pp. 210.
-
Data Science with Julia
Language: English
Published by Taylor & Francis Ltd, 2019
ISBN 10: 1138499986 ISBN 13: 9781138499980
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
-
Data Science with Julia
Language: English
Published by Chapman and Hall/CRC, 2019
ISBN 10: 1138499986 ISBN 13: 9781138499980
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
-
Data Science with Julia
Language: English
Published by Chapman and Hall/CRC, 2019
ISBN 10: 1138499986 ISBN 13: 9781138499980
Condition: New. pp. 240.
-
Mixture Model-Based Classification
Language: English
Published by Taylor & Francis Group, 2016
ISBN 10: 1482225662 ISBN 13: 9781482225662
Condition: New. pp. 210.
-
Mixture Model-Based Classification
Language: English
Published by Chapman and Hall/CRC, 2016
ISBN 10: 1482225662 ISBN 13: 9781482225662
Condition: New.
-
Paperback. Condition: Brand New. 236 pages. 9.21x6.14x0.55 inches. In Stock.
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Data Science with Julia (Paperback)
Language: English
Published by Taylor & Francis Ltd, London, 2019
ISBN 10: 1138499986 ISBN 13: 9781138499980
Paperback. Condition: 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.
-
Mixture Model-Based Classification
Language: English
Published by Chapman and Hall/CRC, 2016
ISBN 10: 1482225662 ISBN 13: 9781482225662
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
