Mcnicholas Paul (60 results)

Batman: The Audio Adventures
McNicholas, Dennis,Barinholtz, Ike,Gardner, Heidi,Moynihan, Bobby,Scheer, Paul
Language: English
Published by Dc Comics 2023
Series: Batman: The Audio Adventures (2022-), Book 1 of 1. Book 1 of 1 - Batman: The Audio Adventures (2022-)
- Softcover
Seller: PlumCircle, West Mifflin, U.S.A.PlumCircle
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paperback. Condition: New. New item in gift quality condition. 99% of orders arrive in 4-10 days. Discounted shipping on multiple books. Marques, Anthony; Bone, J. (illustrator).

- Softcover
Seller: PAPER CAVALIER UK, London, United KingdomPAPER CAVALIER UK
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£ 43.79
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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.

- Softcover
Seller: GreatBookPrices, Columbia, U.S.A.GreatBookPrices
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- Softcover
Seller: Grand Eagle Retail, Bensenville, U.S.A.Grand Eagle Retail
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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.

- Softcover
Seller: GreatBookPrices, Columbia, U.S.A.GreatBookPrices
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- Softcover
Seller: GreatBookPrices, Columbia, U.S.A.GreatBookPrices
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- Softcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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- Softcover
Seller: GreatBookPrices, Columbia, U.S.A.GreatBookPrices
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- Softcover
Seller: Books Puddle, New York, U.S.A.Books Puddle
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Condition: New. 1st edition NO-PA16APR2015-KAP.

- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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£ 56.47
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Condition: As New. Unread book in perfect condition.

- Softcover
Seller: THE SAINT BOOKSTORE, Southport, United KingdomTHE SAINT BOOKSTORE
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£ 60.20
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Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.

- Softcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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£ 70.09
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Condition: New. pp. 240.

- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Softcover
Seller: Biblios, frankfurt am main, GermanyBiblios
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- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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£ 64.24
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Condition: As New. Unread book in perfect condition.

- Softcover
Seller: THE SAINT BOOKSTORE, Southport, United KingdomTHE SAINT BOOKSTORE
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£ 67.48
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Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.

- Softcover
Seller: Books Puddle, New York, U.S.A.Books Puddle
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£ 80.88
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Condition: New. pp. 240.

- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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£ 67.47
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- Softcover
Seller: Biblios, frankfurt am main, GermanyBiblios
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Condition: New. pp. 240.

- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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£ 87.81
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Paperback. Condition: Brand New. 236 pages. 9.21x6.14x0.55 inches. In Stock.

- Softcover
Seller: AussieBookSeller, Truganina, AustraliaAussieBookSeller
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£ 76.06
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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.

- Softcover
Seller: moluna, Greven, Germanymoluna
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£ 61.53
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Condition: 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.

McNicholas, P: Data Science with Julia
Paul D. McNicholas (McMaster University)|Peter Tait (McMaster University, Hamilton, ON)
- Softcover
Seller: moluna, Greven, Germanymoluna
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£ 69.72
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Condition: 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.

- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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£ 100.75
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Paperback. Condition: Brand New. 217 pages. 8.25x5.50x0.50 inches. In Stock.

- Hardcover
Seller: GreatBookPrices, Columbia, U.S.A.GreatBookPrices
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- Hardcover
Seller: Books Puddle, New York, U.S.A.Books Puddle
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£ 112.63
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Condition: New. pp. 210.

- Hardcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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Condition: New. pp. 210.

- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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£ 56.14
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Taschenbuch. Condition: Neu. Mixture Model-Based Classification | Paul D. McNicholas | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2020 | Taylor & Francis | EAN 9780367736958 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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£ 113.56
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Hardcover. Condition: Brand New. 212 pages. 9.25x6.25x0.75 inches. In Stock.

- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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£ 114.09
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Condition: New.