Vanderplas jacob (20 resultados)
- Tapa blanda
- Primera edición
Librería: Novel Ideas Books & Gifts, Decatur, IL, Estados Unidos de AmericaNovel Ideas Books & Gifts
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EUR 10,72
Envío por EUR 4,34Se envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Softcover. Condición: Fine. First Edition. Small 4to 9" - 11" tall; 529 pages.
Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data, Updated Edition (Princeton Series in Modern Observational Astronomy)
Ivezic, Željko,Connolly, Andrew J.,VanderPlas, Jacob T.,Gray, Alexander
- Tapa dura
Librería: HPB-Red, Dallas, TX, Estados Unidos de AmericaHPB-Red
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EUR 41,69
Envío por EUR 3,25Se envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
hardcover. Condición: 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.
Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data, Updated Edition (Princeton Series in Modern Observational Astronomy)
Gray, Alexander,Ivezic, Željko,Connolly, Andrew J.,VanderPlas, Jacob T.
- Tapa dura
Librería: Evergreen Goodwill, Seattle, WA, Estados Unidos de AmericaEvergreen Goodwill
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EUR 43,66
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hardcover. Condición: Good.
Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data (Princeton Series in Modern Observational Astronomy, 1)
Ivezi^'c, %Zeljko; Connolly, Andrew J.; VanderPlas, Jacob T; Gray, Alexander
- Tapa dura
Librería: World of Books (was SecondSale), Montgomery, IL, Estados Unidos de AmericaWorld of Books (was SecondSale)
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EUR 63,83
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Condición: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data (Princeton Series in Modern Observational Astronomy (1))
Ivezic, Zeljko, Connolly, Andrew J., VanderPlas, Jacob T, Gray, Alexander
- Tapa dura
Librería: Labyrinth Books, Princeton, NJ, Estados Unidos de AmericaLabyrinth Books
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 59,82
Envío por EUR 3,90Se envía dentro de Estados Unidos de AmericaCantidad disponible: 10 disponibles
Condición: New.
Statistics, Data Mining, and Machine Learning in Astronomy : A Practical Python Guide for the Analysis of Survey Data
Ivezic, ?eljko; Connolly, Andrew J.; Vanderplas, Jacob T.; Gray, Alexander
- Tapa dura
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 84,23
Envío por EUR 2,29Se envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: New.
Statistics, Data Mining, and Machine Learning in Astronomy : A Practical Python Guide for the Analysis of Survey Data
Ivezic, ?eljko; Connolly, Andrew J.; Vanderplas, Jacob T.; Gray, Alexander
- Tapa dura
Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 78,43
Envío por EUR 17,50Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: New.
Statistics, Data Mining, and Machine Learning in Astronomy : A Practical Python Guide for the Analysis of Survey Data
Ivezic, ?eljko; Connolly, Andrew J.; Vanderplas, Jacob T.; Gray, Alexander
- Tapa dura
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Como Nuevo
EUR 94,00
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Condición: As New. Unread book in perfect condition.
Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data, Updated Edition (Princeton Series in Modern Observational Astronomy)
Ivezić, Željko; Connolly, Andrew J.; VanderPlas, Jacob T.; Gray, Alexander
- Tapa dura
Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 94,99
Envío por EUR 3,46Se envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: New. Revised edition NO-PA16APR2015-KAP.
Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data, Updated Edition (Princeton Series in Modern Observational Astronomy)
Ivezić, Željko; Connolly, Andrew J.; VanderPlas, Jacob T.; Gray, Alexander
- Tapa dura
Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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EUR 93,16
Envío por EUR 7,58Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: New.
Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data, Updated Edition (Princeton Series in Modern Observational Astronomy)
Ivezić, Željko; Connolly, Andrew J.; VanderPlas, Jacob T.; Gray, Alexander
- Tapa dura
Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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EUR 91,42
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Condición: New. In.
Statistics, Data Mining, and Machine Learning in Astronomy : A Practical Python Guide for the Analysis of Survey Data
Ivezic, ?eljko; Connolly, Andrew J.; Vanderplas, Jacob T.; Gray, Alexander
- Tapa dura
Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Como Nuevo
EUR 92,25
Envío por EUR 17,50Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: As New. Unread book in perfect condition.
Statistics, Data Mining, and Machine Learning in Astronomy
Alexander Gray, Jacob T. VanderPlas, Zeljko Ivezic, Andrew J. Connolly
- Tapa dura
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de AmericaRarewaves USA
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EUR 112,67
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 8 disponibles
Hardback. Condición: New. Statistics, Data Mining, and Machine Learning in Astronomy is the essential introduction to the statistical methods needed to analyze complex data sets from astronomical surveys such as the Panoramic Survey Telescope and Rapid Response System, the Dark Energy Survey, and the Large Synoptic Survey Telesc…ope. Now fully updated, it presents a wealth of practical analysis problems, evaluates the techniques for solving them, and explains how to use various approaches for different types and sizes of data sets. Python code and sample data sets are provided for all applications described in the book. The supporting data sets have been carefully selected from contemporary astronomical surveys and are easy to download and use. The accompanying Python code is publicly available, well documented, and follows uniform coding standards. Together, the data sets and code enable readers to reproduce all the figures and examples, engage with the different methods, and adapt them to their own fields of interest.An accessible textbook for students and an indispensable reference for researchers, this updated edition features new sections on deep learning methods, hierarchical Bayes modeling, and approximate Bayesian computation. The chapters have been revised throughout and the astroML code has been brought completely up to date.Fully revised and expandedDescribes the most useful statistical and data-mining methods for extracting knowledge from huge and complex astronomical data setsFeatures real-world data sets from astronomical surveysUses a freely available Python codebase throughoutIdeal for graduate students, advanced undergraduates, and working astronomers.
Statistics, Data Mining, and Machine Learning in Astronomy
Alexander Gray, Jacob T. VanderPlas, Zeljko Ivezic, Andrew J. Connolly
- Tapa dura
Librería: Rarewaves.com USA, London, LONDO, Reino UnidoRarewaves.com USA
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 122,20
Gastos de envío gratisSe envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 8 disponibles
Hardback. Condición: New. Statistics, Data Mining, and Machine Learning in Astronomy is the essential introduction to the statistical methods needed to analyze complex data sets from astronomical surveys such as the Panoramic Survey Telescope and Rapid Response System, the Dark Energy Survey, and the Large Synoptic Survey Telesc…ope. Now fully updated, it presents a wealth of practical analysis problems, evaluates the techniques for solving them, and explains how to use various approaches for different types and sizes of data sets. Python code and sample data sets are provided for all applications described in the book. The supporting data sets have been carefully selected from contemporary astronomical surveys and are easy to download and use. The accompanying Python code is publicly available, well documented, and follows uniform coding standards. Together, the data sets and code enable readers to reproduce all the figures and examples, engage with the different methods, and adapt them to their own fields of interest.An accessible textbook for students and an indispensable reference for researchers, this updated edition features new sections on deep learning methods, hierarchical Bayes modeling, and approximate Bayesian computation. The chapters have been revised throughout and the astroML code has been brought completely up to date.Fully revised and expandedDescribes the most useful statistical and data-mining methods for extracting knowledge from huge and complex astronomical data setsFeatures real-world data sets from astronomical surveysUses a freely available Python codebase throughoutIdeal for graduate students, advanced undergraduates, and working astronomers.
Statistics, Data Mining, and Machine Learning in A Practical Python Guide for the Analysis of Survey Data, Updated Edition
Ivezic, eljko/ Connolly, Andrew J./ Vanderplas, Jacob T./ Gray, Alexander
- Tapa dura
Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 107,64
Envío por EUR 17,50Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Hardcover. Condición: Brand New. revised updated edition. 537 pages. 10.00x7.00x1.50 inches. In Stock.
Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data, Updated Edition
Eljko Ivezic|Andrew J. Connolly|Jacob T. Vanderplas|Alexander Gray
- Tapa dura
Librería: moluna, Greven, Alemaniamoluna
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 94,78
Envío por EUR 48,99Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Gebunden. Condición: New.
Statistics, Data Mining, and Machine Learning in Astronomy
Alexander Gray, Jacob T. VanderPlas, Zeljko Ivezic, Andrew J. Connolly
- Tapa dura
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de AmericaRarewaves USA United
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 114,91
Envío por EUR 43,36Se envía dentro de Estados Unidos de AmericaCantidad disponible: 8 disponibles
Hardback. Condición: New. Statistics, Data Mining, and Machine Learning in Astronomy is the essential introduction to the statistical methods needed to analyze complex data sets from astronomical surveys such as the Panoramic Survey Telescope and Rapid Response System, the Dark Energy Survey, and the Large Synoptic Survey Telesc…ope. Now fully updated, it presents a wealth of practical analysis problems, evaluates the techniques for solving them, and explains how to use various approaches for different types and sizes of data sets. Python code and sample data sets are provided for all applications described in the book. The supporting data sets have been carefully selected from contemporary astronomical surveys and are easy to download and use. The accompanying Python code is publicly available, well documented, and follows uniform coding standards. Together, the data sets and code enable readers to reproduce all the figures and examples, engage with the different methods, and adapt them to their own fields of interest.An accessible textbook for students and an indispensable reference for researchers, this updated edition features new sections on deep learning methods, hierarchical Bayes modeling, and approximate Bayesian computation. The chapters have been revised throughout and the astroML code has been brought completely up to date.Fully revised and expandedDescribes the most useful statistical and data-mining methods for extracting knowledge from huge and complex astronomical data setsFeatures real-world data sets from astronomical surveysUses a freely available Python codebase throughoutIdeal for graduate students, advanced undergraduates, and working astronomers.
Statistics, Data Mining, and Machine Learning in A Practical Python Guide for the Analysis of Survey Data, Updated Edition
Ivezic, eljko/ Connolly, Andrew J./ Vanderplas, Jacob T./ Gray, Alexander
- Tapa dura
Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 163,46
Envío por EUR 17,50Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Hardcover. Condición: Brand New. revised updated edition. 537 pages. 10.00x7.00x1.50 inches. In Stock.
Statistics, Data Mining, and Machine Learning in Astronomy
Alexander Gray, Jacob T. VanderPlas, Zeljko Ivezic, Andrew J. Connolly
- Tapa dura
Librería: Rarewaves.com UK, London, Reino UnidoRarewaves.com UK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 114,64
Envío por EUR 75,81Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 8 disponibles
Hardback. Condición: New. Statistics, Data Mining, and Machine Learning in Astronomy is the essential introduction to the statistical methods needed to analyze complex data sets from astronomical surveys such as the Panoramic Survey Telescope and Rapid Response System, the Dark Energy Survey, and the Large Synoptic Survey Telesc…ope. Now fully updated, it presents a wealth of practical analysis problems, evaluates the techniques for solving them, and explains how to use various approaches for different types and sizes of data sets. Python code and sample data sets are provided for all applications described in the book. The supporting data sets have been carefully selected from contemporary astronomical surveys and are easy to download and use. The accompanying Python code is publicly available, well documented, and follows uniform coding standards. Together, the data sets and code enable readers to reproduce all the figures and examples, engage with the different methods, and adapt them to their own fields of interest.An accessible textbook for students and an indispensable reference for researchers, this updated edition features new sections on deep learning methods, hierarchical Bayes modeling, and approximate Bayesian computation. The chapters have been revised throughout and the astroML code has been brought completely up to date.Fully revised and expandedDescribes the most useful statistical and data-mining methods for extracting knowledge from huge and complex astronomical data setsFeatures real-world data sets from astronomical surveysUses a freely available Python codebase throughoutIdeal for graduate students, advanced undergraduates, and working astronomers.
Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data, Updated Edition (Princeton Series in Modern Observational Astronomy)
Ivezić, Željko; Connolly, Andrew J.; VanderPlas, Jacob T.; Gray, Alexander
- Tapa dura
- Impresión bajo demanda
Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 153,20
Envío por EUR 9,95Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New. PRINT ON DEMAND.
