Daniela Witten's Books

An Introduction to Statistical Learning

with Applications in R

By: Gareth James,Daniela Witten,Trevor Hastie,Robert Tibshirani

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An Introduction to Statistical Learning

with Applications in R

By: Gareth James,Daniela Witten,Trevor Hastie,Robert Tibshirani

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra. This Second Edition features new chapters on deep learning, survival analysis, and multiple testing, as well as expanded treatments of naïve Bayes, generalized linear models, Bayesian additive regression trees, and matrix completion. R code has been updated throughout to ensure compatibility.

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Page Count

607

Publisher

Springer Nature

Published Date

ISBN 10

1071614185

ISBN 13

9781071614181

How Entrepreneurs are Driving Sustainable Development

By: Daniela Gimenez-Jimenez

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How Entrepreneurs are Driving Sustainable Development

By: Daniela Gimenez-Jimenez

How Entrepreneurs are Driving Sustainable Development explores the variety of entrepreneurs across business and their contributions to achieving sustainable development.

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Emerald Group Publishing

Published Date

ISBN 10

1803822112

ISBN 13

9781803822112

Geophysical Methods for Cultural Heritage Management

By: Marilena Cozzolino,Elisa Di Giovanni,Paolo Mauriello,Salvatore Piro,Daniela Zamuner

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Geophysical Methods for Cultural Heritage Management

By: Marilena Cozzolino,Elisa Di Giovanni,Paolo Mauriello,Salvatore Piro,Daniela Zamuner

This book provides information and tools necessary to bridge and integrate the knowledge gaps related to the acquisition and processing of archaeological data, specifically in the field of preventive diagnostics, urban centers, archaeological parks and historical monuments, through activities that involve the application of non-invasive diagnostic detection systems, in the field of applied geophysics. The principal aim of this book is to define a tool for experts that work in the frame of Cultural Heritage and to identify a procedure of intervention transferable and usable in different geographical contexts and areas of investigations: it could help to decide the better technique of investigation to apply in relation to the predictive characteristics of the archaeological site and the objectives of the survey. The book is divided in two parts. The first one explains the theory of ground high resolution penetrating radar (GPR), electrical resistivity tomography (ERT), controlled source electromagnetism system, differential magnetic method and the scenario of integrated methods of different geophysical techniques. Each section covers the basic theory (complete description of the physical parameters involved in the method), field instruments (description of all systems actually offered by commercial companies), field techniques (presentation of the main procedures and setting parameters used to explore the ground surface during data acquisition), techniques of data processing and representation (main processing routines and comparison between different techniques; presentation of different typologies of graphical representation), and the possibility and limitations of methods (explanation of best and worst conditions of implementation of the geophysical technique in relation to the contrasts between archaeological features and the natural background and the features of the instruments and arrays). The second part describes some applications of geophysical prospection to Cultural Heritage in detailed case histories, divided in sections relative to monuments, historical buildings, urban centres, archaeological parks and ancient viability. Moreover, examples of integration of three-dimensional reliefs and geophysical diagnostic of a monuments and studies of large scale reconnaissance implemented into a Geographical Information System are treated. In each case study the authors cover the description of the archaeological or historical contest; an explanation of the problem to solve; a choice of the geophysical methods; the setting of the procedure of data acquisition; techniques of data processing; a representation, interpretation, and discussion of the results.

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Page Count

219

Publisher

Springer

Published Date

ISBN 10

3319747908

ISBN 13

9783319747903

Die wahrhaft königliche Stadt

Das Reich in den Reichsstädten Augsburg, Nürnberg und Lübeck im Späten Mittelalter

By: Daniela Kah

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Die wahrhaft königliche Stadt

Das Reich in den Reichsstädten Augsburg, Nürnberg und Lübeck im Späten Mittelalter

By: Daniela Kah

English In Eine wahrhaft königliche Stadt, Daniela Kah describes how contemporary residents and visitors were able to experience and perceive the presence of the Holy Roman Empire (or its representatives, e.g., the king) in three late medieval cities -- Augsburg, Nürnberg and Lübeck. After receiving privileges from the king, these cities initiated large construction projects designed to assert their imperial status. These projects had a major impact on everyday life and made the Empire visible and graspable within the city. However, in the 13th century the cities increasingly deployed symbols and signs to represent their self-understanding as 'imperial'. ‘Being immediate to the Empire’ or ‘being privileged’ provided important political, economic, and social benefits. Therefore it became very important to the cities to represent their status in visible form. For this reason, the Empire achieved a permanent and lasting presence in free imperial cities. Deutsch In Eine wahrhaft königliche Stadt beschreibt Daniela Kah, wie das mittelalterliche Reich oder seine Repräsentanten, wie zum Beispiel der König, in den Reichsstädten Augsburg, Nürnberg und Lübeck für die zeitgenössischen Bewohner und Besucher erfahrbar war und wahrgenommen wurde. Zunächst führte die Vergabe von königlichen Privilegien zu großangelegten repräsentativen Bauprojekten in den Städten, die das Reich so im städtischen Alltag erkennbar werden ließen. Ab dem 13. Jahrhundert kam es dazu, dass die Stäte vermehrt Symbole und Zeichen im Stadtraum anbrachten, die ihr Selbstverständnis visualieren. Der Status ‚unmittelbar dem Reich zugehörig“ beziehungsweise ‚vom Reich privilegiert’ zu sein, wurde aufgrund seiner politischen, wirtschaftlichen und prestigesteigernden Bedeutung ein wichtiger Bezugspunkt, der zur dauerhaften Präsenz des Reichs in den Reichsstädten führte.

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Page Count

465

Publisher

BRILL

Published Date

ISBN 10

9004355049

ISBN 13

9789004355040

An Introduction to Statistical Learning

with Applications in Python

By: Gareth James,Daniela Witten,Trevor Hastie,Robert Tibshirani,Jonathan Taylor

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An Introduction to Statistical Learning

with Applications in Python

By: Gareth James,Daniela Witten,Trevor Hastie,Robert Tibshirani,Jonathan Taylor

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.

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Page Count

617

Publisher

Springer Nature

Published Date

ISBN 10

3031387473

ISBN 13

9783031387470

An Introduction to Statistical Learning

with Applications in R

By: Gareth James,Daniela Witten,Trevor Hastie,Robert Tibshirani

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An Introduction to Statistical Learning

with Applications in R

By: Gareth James,Daniela Witten,Trevor Hastie,Robert Tibshirani

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

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Age

Page Count

434

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1461471389

ISBN 13

9781461471387

Book's by Daniela Witten

An Introduction to Statistical Learning

An Introduction to Statistical Learning

How Entrepreneurs are Driving Sustainable Development

How Entrepreneurs are Driving Sustainable Development

Geophysical Methods for Cultural Heritage Management

Geophysical Methods for Cultural Heritage Management

Die wahrhaft königliche Stadt

Die wahrhaft königliche Stadt

An Introduction to Statistical Learning

An Introduction to Statistical Learning

An Introduction to Statistical Learning

An Introduction to Statistical Learning

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