Bayesian Networks, An Introduction - 9 Angebote vergleichen
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Bayesian Networks, An Introduction (2015)
EN NW EBISBN: 9781119964957 bzw. 1119964954, in Englisch, John Wiley &Amp; Sons Inc, neu, E-Book.
Lieferung aus: Niederlande, Direct beschikbaar.
bol.com.
Bayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic of interest and importance for statisticians, computer scientists and those involved in modelling complex data sets. The material has been extensively tested in classroom teaching and assumes a basic knowledge of probability, statistics and mathematics. All notions are carefully explained and feature exercises throughout. Features include: An introduction to Dir..., Bayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic of interest and importance for statisticians, computer scientists and those involved in modelling complex data sets. The material has been extensively tested in classroom teaching and assumes a basic knowledge of probability, statistics and mathematics. All notions are carefully explained and feature exercises throughout. Features include: An introduction to Dirichlet Distribution, Exponential Families and their applications. A detailed description of learning algorithms and Conditional Gaussian Distributions using Junction Tree methods. A discussion of Pearl's intervention calculus, with an introduction to the notion of see and do conditioning. All concepts are clearly defined and illustrated with examples and exercises. Solutions are provided online. This book will prove a valuable resource for postgraduate students of statistics, computer engineering, mathematics, data mining, artificial intelligence, and biology. Researchers and users of comparable modelling or statistical techniques such as neural networks will also find this book of interest. Productinformatie:Taal: Engels;Formaat: ePub met kopieerbeveiliging (DRM) van Adobe;Bestandsgrootte: 20.25 MB;Kopieerrechten: Het kopiëren van (delen van) de pagina's is niet toegestaan ;Printrechten: Het printen van de pagina's is niet toegestaan;Voorleesfunctie: De voorleesfunctie is uitgeschakeld;Geschikt voor: Alle e-readers te koop bij bol.com (of compatible met Adobe DRM). Telefoons/tablets met Google Android (1.6 of hoger) voorzien van bol.com boekenbol app. PC en Mac met Adobe reader software;ISBN10: 1119964954;ISBN13: 9781119964957; Engels | Ebook | 2015.
bol.com.
Bayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic of interest and importance for statisticians, computer scientists and those involved in modelling complex data sets. The material has been extensively tested in classroom teaching and assumes a basic knowledge of probability, statistics and mathematics. All notions are carefully explained and feature exercises throughout. Features include: An introduction to Dir..., Bayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic of interest and importance for statisticians, computer scientists and those involved in modelling complex data sets. The material has been extensively tested in classroom teaching and assumes a basic knowledge of probability, statistics and mathematics. All notions are carefully explained and feature exercises throughout. Features include: An introduction to Dirichlet Distribution, Exponential Families and their applications. A detailed description of learning algorithms and Conditional Gaussian Distributions using Junction Tree methods. A discussion of Pearl's intervention calculus, with an introduction to the notion of see and do conditioning. All concepts are clearly defined and illustrated with examples and exercises. Solutions are provided online. This book will prove a valuable resource for postgraduate students of statistics, computer engineering, mathematics, data mining, artificial intelligence, and biology. Researchers and users of comparable modelling or statistical techniques such as neural networks will also find this book of interest. Productinformatie:Taal: Engels;Formaat: ePub met kopieerbeveiliging (DRM) van Adobe;Bestandsgrootte: 20.25 MB;Kopieerrechten: Het kopiëren van (delen van) de pagina's is niet toegestaan ;Printrechten: Het printen van de pagina's is niet toegestaan;Voorleesfunctie: De voorleesfunctie is uitgeschakeld;Geschikt voor: Alle e-readers te koop bij bol.com (of compatible met Adobe DRM). Telefoons/tablets met Google Android (1.6 of hoger) voorzien van bol.com boekenbol app. PC en Mac met Adobe reader software;ISBN10: 1119964954;ISBN13: 9781119964957; Engels | Ebook | 2015.
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Bayesian Networks: An Introduction (Hardback) (2009)
EN HC NWISBN: 9780470743041 bzw. 0470743042, in Englisch, John Wiley and Sons Ltd, United Kingdom, gebundenes Buch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, The Book Depository [54837791], Gloucester, UK, United Kingdom.
Brand New Book. Bayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic of interest and importance for statisticians, computer scientists and those involved in modelling complex data sets. The material has been extensively tested in classroom teaching and assumes a basic knowledge of probability, statistics and mathematics. All notions are carefully explained and feature exercises throughout. Features include: An introduction to Dirichlet Distribution, Exponential Families and their applications. A detailed description of learning algorithms and Conditional Gaussian Distributions using Junction Tree methods. A discussion of Pearl s intervention calculus, with an introduction to the notion of see and do conditioning. All concepts are clearly defined and illustrated with examples and exercises. Solutions are provided online. This book will prove a valuable resource for postgraduate students of statistics, computer engineering, mathematics, data mining, artificial intelligence, and biology. Researchers and users of comparable modelling or statistical techniques such as neural networks will also find this book of interest.
Von Händler/Antiquariat, The Book Depository [54837791], Gloucester, UK, United Kingdom.
Brand New Book. Bayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic of interest and importance for statisticians, computer scientists and those involved in modelling complex data sets. The material has been extensively tested in classroom teaching and assumes a basic knowledge of probability, statistics and mathematics. All notions are carefully explained and feature exercises throughout. Features include: An introduction to Dirichlet Distribution, Exponential Families and their applications. A detailed description of learning algorithms and Conditional Gaussian Distributions using Junction Tree methods. A discussion of Pearl s intervention calculus, with an introduction to the notion of see and do conditioning. All concepts are clearly defined and illustrated with examples and exercises. Solutions are provided online. This book will prove a valuable resource for postgraduate students of statistics, computer engineering, mathematics, data mining, artificial intelligence, and biology. Researchers and users of comparable modelling or statistical techniques such as neural networks will also find this book of interest.
3
Bayesian Networks: An Introduction (2009)
EN HC NW FEISBN: 9780470743041 bzw. 0470743042, in Englisch, 366 Seiten, Wiley, gebundenes Buch, neu, Erstausgabe.
Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 1-2 business days.
Von Händler/Antiquariat, ---SuperBookDeals.
Bayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic of interest and importance for statisticians, computer scientists and those involved in modelling complex data sets. The material has been extensively tested in classroom teaching and assumes a basic knowledge of probability, statistics and mathematics. All notions are carefully explained and feature exercises throughout. Features include: An introduction to Dirichlet Distribution, Exponential Families and their applications. A detailed description of learning algorithms and Conditional Gaussian Distributions using Junction Tree methods. A discussion of Pearl's intervention calculus, with an introduction to the notion of see and do conditioning. All concepts are clearly defined and illustrated with examples and exercises. Solutions are provided online. This book will prove a valuable resource for postgraduate students of statistics, computer engineering, mathematics, data mining, artificial intelligence, and biology. Researchers and users of comparable modelling or statistical techniques such as neural networks will also find this book of interest., Hardcover, Ausgabe: 1, Label: Wiley, Wiley, Produktgruppe: Book, Publiziert: 2009-11-02, Studio: Wiley, Verkaufsrang: 1586549.
Von Händler/Antiquariat, ---SuperBookDeals.
Bayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic of interest and importance for statisticians, computer scientists and those involved in modelling complex data sets. The material has been extensively tested in classroom teaching and assumes a basic knowledge of probability, statistics and mathematics. All notions are carefully explained and feature exercises throughout. Features include: An introduction to Dirichlet Distribution, Exponential Families and their applications. A detailed description of learning algorithms and Conditional Gaussian Distributions using Junction Tree methods. A discussion of Pearl's intervention calculus, with an introduction to the notion of see and do conditioning. All concepts are clearly defined and illustrated with examples and exercises. Solutions are provided online. This book will prove a valuable resource for postgraduate students of statistics, computer engineering, mathematics, data mining, artificial intelligence, and biology. Researchers and users of comparable modelling or statistical techniques such as neural networks will also find this book of interest., Hardcover, Ausgabe: 1, Label: Wiley, Wiley, Produktgruppe: Book, Publiziert: 2009-11-02, Studio: Wiley, Verkaufsrang: 1586549.
4
Bayesian Networks: An Introduction (2009)
EN HC NW FEISBN: 9780470743041 bzw. 0470743042, in Englisch, 366 Seiten, Wiley, gebundenes Buch, neu, Erstausgabe.
Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 1-2 business days.
Von Händler/Antiquariat, toanna.
Bayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic of interest and importance for statisticians, computer scientists and those involved in modelling complex data sets. The material has been extensively tested in classroom teaching and assumes a basic knowledge of probability, statistics and mathematics. All notions are carefully explained and feature exercises throughout.Features include:An introduction to Dirichlet Distribution, Exponential Families and their applications.A detailed description of learning algorithms and Conditional Gaussian Distributions using Junction Tree methods.A discussion of Pearl's intervention calculus, with an introduction to the notion of see and do conditioning.All concepts are clearly defined and illustrated with examples and exercises. Solutions are provided online.This book will prove a valuable resource for postgraduate students of statistics, computer engineering, mathematics, data mining, artificial intelligence, and biology.Researchers and users of comparable modelling or statistical techniques such as neural networks will also find this book of interest. Hardcover, Ausgabe: 1, Label: Wiley, Wiley, Produktgruppe: Book, Publiziert: 2009-11-02, Studio: Wiley, Verkaufsrang: 1892388.
Von Händler/Antiquariat, toanna.
Bayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic of interest and importance for statisticians, computer scientists and those involved in modelling complex data sets. The material has been extensively tested in classroom teaching and assumes a basic knowledge of probability, statistics and mathematics. All notions are carefully explained and feature exercises throughout.Features include:An introduction to Dirichlet Distribution, Exponential Families and their applications.A detailed description of learning algorithms and Conditional Gaussian Distributions using Junction Tree methods.A discussion of Pearl's intervention calculus, with an introduction to the notion of see and do conditioning.All concepts are clearly defined and illustrated with examples and exercises. Solutions are provided online.This book will prove a valuable resource for postgraduate students of statistics, computer engineering, mathematics, data mining, artificial intelligence, and biology.Researchers and users of comparable modelling or statistical techniques such as neural networks will also find this book of interest. Hardcover, Ausgabe: 1, Label: Wiley, Wiley, Produktgruppe: Book, Publiziert: 2009-11-02, Studio: Wiley, Verkaufsrang: 1892388.
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Bayesian Networks: An Introduction (Wiley Series in Probability and Statistics) (2011)
EN NW FE EB DLISBN: 9781119964964 bzw. 1119964962, in Englisch, 366 Seiten, Wiley, neu, Erstausgabe, E-Book, elektronischer Download.
Lieferung aus: Deutschland, E-Book zum Download.
Bayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic of interest and importance for statisticians, computer scientists and those involved in modelling complex data sets. The material has been extensively tested in classroom teaching and assumes a basic knowledge of probability, statistics and mathematics. All notions are carefully explained and feature exercises throughout.Features include:An introduction to Dirichlet Distribution, Exponential Families and their applications.A detailed description of learning algorithms and Conditional Gaussian Distributions using Junction Tree methods.A discussion of Pearl's intervention calculus, with an introduction to the notion of see and do conditioning.All concepts are clearly defined and illustrated with examples and exercises. Solutions are provided online.This book will prove a valuable resource for postgraduate students of statistics, computer engineering, mathematics, data mining, artificial intelligence, and biology.Researchers and users of comparable modelling or statistical techniques such as neural networks will also find this book of interest. Kindle Edition, Ausgabe: 1, Format: Kindle eBook, Label: Wiley, Wiley, Produktgruppe: eBooks, Publiziert: 2011-08-26, Freigegeben: 2011-08-26, Studio: Wiley.
Bayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic of interest and importance for statisticians, computer scientists and those involved in modelling complex data sets. The material has been extensively tested in classroom teaching and assumes a basic knowledge of probability, statistics and mathematics. All notions are carefully explained and feature exercises throughout.Features include:An introduction to Dirichlet Distribution, Exponential Families and their applications.A detailed description of learning algorithms and Conditional Gaussian Distributions using Junction Tree methods.A discussion of Pearl's intervention calculus, with an introduction to the notion of see and do conditioning.All concepts are clearly defined and illustrated with examples and exercises. Solutions are provided online.This book will prove a valuable resource for postgraduate students of statistics, computer engineering, mathematics, data mining, artificial intelligence, and biology.Researchers and users of comparable modelling or statistical techniques such as neural networks will also find this book of interest. Kindle Edition, Ausgabe: 1, Format: Kindle eBook, Label: Wiley, Wiley, Produktgruppe: eBooks, Publiziert: 2011-08-26, Freigegeben: 2011-08-26, Studio: Wiley.
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Bayesian Networks (2009)
EN NWISBN: 9780470743041 bzw. 0470743042, in Englisch, Wiley, Vereinigte Staaten von Amerika, neu.
Von Händler/Antiquariat, Media Mall [57912909], Fyshwick, ACT, Australia.
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Bayesian Networks
DE NW EBISBN: 9781119964957 bzw. 1119964954, in Deutsch, neu, E-Book.
Lieferung aus: Deutschland, zzgl. Versandkosten, Sofort per Download lieferbar.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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