9783031387463 - an introduction to statistical learning: with applications in python (springer texts in statistics) von james, gareth; witten, daniela; hastie, trevor; tibshirani, robert; taylor, jonathan (8 Ergebnisse)
An Introduction to Statistical
James, Gareth; Witten, Daniela; Hastie, Trevor; Tibshirani, Robert; Taylor, Jonathan
Sprache: Englisch
Verlag: Springer, 2023
- Hardcover
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An Introduction to Statistical Learning: with Applications in Python (Springer Texts in Statistics)
James, Gareth; Witten, Daniela; Hastie, Trevor; Tibshirani, Robert; Taylor, Jonathan
Sprache: Englisch
Verlag: Springer, 2023
- Hardcover
- Erstausgabe
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An Introduction to Statistical Learning: With Applications in Python
James, Gareth/ Witten, Daniela/ Hastie, Trevor/ Tibshirani, Robert/ Taylor, Jonathan
Sprache: Englisch
Verlag: Springer Nature, 2023
- Hardcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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An Introduction to Statistical Learning
James, Gareth|Witten, Daniela|Hastie, Trevor|Tibshirani, Robert|Taylor, Jonathan
Sprache: Englisch
Verlag: Springer, Berlin|Springer International Publishing|Springer, 2023
- Hardcover
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Sprache: Englisch
Verlag: Springer, 2023
- Hardcover
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Buch. Zustand: Neu. An Introduction to Statistical Learning | with Applications in Python | Gareth James (u. a.) | Buch | xv | Englisch | 2023 | Springer | EAN 9783031387463 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer International Publishing AG Jul 2023, 2023
- Hardcover
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Buch. Zustand: Neu. Neuware -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.Springer Nature Customer Service Center GmbH, Europaplatz 3, 69115 Heidelberg 607 pp. Englisch.
Sprache: Englisch
Verlag: Springer International Publishing AG Jul 2023, 2023
- Hardcover
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Buch. Zustand: Neu. Neuware - An Introduction to Statistical Learningprovides 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-wroteAn 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.
An Introduction to Statistical Learning: With Applications in Python
James, Gareth/ Witten, Daniela/ Hastie, Trevor/ Tibshirani, Robert/ Taylor, Jonathan
Sprache: Englisch
Verlag: Springer Nature, 2023
- Hardcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 177,27
EUR 23,37 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 2 verfügbar
Hardcover. Zustand: Brand New. 607 pages. 10.00x7.00x1.50 inches. In Stock.
