Statistical Analysis Techniques in Particle Physics
18 Angebote vergleichen

Lieferung aus: Russische Föderation, zzgl. Versandkosten.
Modern analysis of HEP data needs advanced statistical tools to separate signal from background. This is the first book which focuses on machine learning techniques. It will be of interest to almost every high energy physicist, and, due to its coverage, suitable for students. Наука, Образование/Прочая образовательная литература, book.

Lieferung aus: Kanada, ספר אלקטרוני להורדה, משלוח חינם.
Modern analysis of HEP data needs advanced statistical tools to separate signal from background. This is the first book which focuses on machine learning techniques. It will be of interest to almost every high energy physicist, and, due to its coverage, suitable for students. Kindle Edition, מהדורה: 1, תבנית: Kindle eBook, תווית: Wiley-VCH, Wiley-VCH, קבוצת המוצרים: eBooks, לאור: 2013-10-24, תאריך שחרור: 2013-10-24, סטודיו: Wiley-VCH.

Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Despatched same working day before 3pm.
Modern analysis of HEP data needs advanced statistical tools to separate signal from background.This is the first book which focuses on machine learning techniques.It will be of interest to almost every high energy physicist, and, due to its coverage, suitable for students.

Lieferung aus: Deutschland, E-Book zum Download, Versandkostenfrei.
Modern analysis of HEP data needs advanced statistical tools to separate signal from background. This is the first book which focuses on machine learning techniques. It will be of interest to almost every high energy physicist, and, due to its coverage, suitable for students. Kindle Ausgabe, Ausgabe: 1, Format: Kindle eBook, Label: Wiley-VCH, Wiley-VCH, Produktgruppe: eBooks, Publiziert: 2013-10-24, Freigegeben: 2013-10-24, Studio: Wiley-VCH.

Lieferung aus: Schweiz, Sofort per Download lieferbar.
Fits, Density Estimation and Supervised Learning, The first book written specifically with physicists in mind on analysis techniques in particle physics with an emphasis on machine learning techniques. Based on lectures given by the authors at Stanford and Caltech, this practical approach shows by means of analysis examples how observables are extracted from data, how signal and background are estimated, and how accurate error estimates are obtained exploiting uni- and multivariate analysis techniques, such as non-parametric density estimation, likelihood fits, neural networks, support vector machines, decision trees, and ensembles of classifiers. It includes simple code snippets that run on popular software suites such as Root and Matlab, and either include the codes for generating data or make use of publically available data that can be downloaded from the Web. Primarily aimed at master and very advanced undergraduate students, this text is also intended for study and research. PDF, 17.10.2013.

Lieferung aus: Schweiz, Sofort per Download lieferbar.
Fits, Density Estimation and Supervised Learning, The first book written specifically with physicists in mind on analysis techniques in particle physics with an emphasis on machine learning techniques. Based on lectures given by the authors at Stanford and Caltech, this practical approach shows by means of analysis examples how observables are extracted from data, how signal and background are estimated, and how accurate error estimates are obtained exploiting uni- and multivariate analysis techniques, such as non-parametric density estimation, likelihood fits, neural networks, support vector machines, decision trees, and ensembles of classifiers. It includes simple code snippets that run on popular software suites such as Root and Matlab, and either include the codes for generating data or make use of publically available data that can be downloaded from the Web. Primarily aimed at master and very advanced undergraduate students, this text is also intended for study and research. PDF, 17.10.2013.

Lieferung aus: Deutschland, Sofort per Download lieferbar.
Fits, Density Estimation and Supervised Learning The first book written specifically with physicists in mind on analysis techniques in particle physics with an emphasis on machine learning techniques. Based on lectures given by the authors at Stanford and Caltech, this practical approach shows by means of analysis examples how observables are extracted from data, how signal and background are estimated, and how accurate error estimates are obtained exploiting uni- and multivariate analysis techniques, such as non-parametric density estimation, likelihood fits, neural networks, support vector machines, decision trees, and ensembles of classifiers. It includes simple code snippets that run on popular software suites such as Root and Matlab, and either include the codes for generating data or make use of publically available data that can be downloaded from the Web. Primarily aimed at master and very advanced undergraduate students, this text is also intended for study and research. 17.10.2013, PDF.

Lieferung aus: Deutschland, Sofort per Download lieferbar.
Fits, Density Estimation and Supervised Learning The first book written specifically with physicists in mind on analysis techniques in particle physics with an emphasis on machine learning techniques. Based on lectures given by the authors at Stanford and Caltech, this practical approach shows by means of analysis examples how observables are extracted from data, how signal and background are estimated, and how accurate error estimates are obtained exploiting uni- and multivariate analysis techniques, such as non-parametric density estimation, likelihood fits, neural networks, support vector machines, decision trees, and ensembles of classifiers. It includes simple code snippets that run on popular software suites such as Root and Matlab, and either include the codes for generating data or make use of publically available data that can be downloaded from the Web. Primarily aimed at master and very advanced undergraduate students, this text is also intended for study and research. 17.10.2013, PDF.

Lieferung aus: Deutschland, Versandkostenfrei.
Statistical Analysis Techniques in Particle Physics: The first book written specifically with physicists in mind on analysis techniques in particle physics with an emphasis on machine learning techniques.Based on lectures given by the authors at Stanford and Caltech, this practical approach shows by means of analysis examples how observables are extracted from data, how signal and background are estimated, and how accurate error estimates are obtained exploiting uni- and multivariate analysis techniques, such as non-parametric density estimation, likelihood fits, neural networks, support vector machines, decision trees, and ensembles of classifiers. It includes simple code snippets that run on popular software suites such as Root and Matlab, and either include the codes for generating data or make use of publically available data that can be downloaded from the Web. Primarily aimed at master and very advanced undergraduate students, this text is also intended for study and research. Englisch, Ebook.

Lieferung aus: Deutschland, Versandkostenfrei.
Statistical Analysis Techniques in Particle Physics: The first book written specifically with physicists in mind on analysis techniques in particle physics with an emphasis on machine learning techniques.Based on lectures given by the authors at Stanford and Caltech, this practical approach shows by means of analysis examples how observables are extracted from data, how signal and background are estimated, and how accurate error estimates are obtained exploiting uni- and multivariate analysis techniques, such as non-parametric density estimation, likelihood fits, neural networks, support vector machines, decision trees, and ensembles of classifiers. It includes simple code snippets that run on popular software suites such as Root and Matlab, and either include the codes for generating data or make use of publically available data that can be downloaded from the Web.Primarily aimed at master and very advanced undergraduate students, this text is also intended for study and research. Englisch, Ebook.