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An Introduction to Statistical Learningwith Applications in R EAN: 9781071614174 Farbverschnitt: Generell werden die Bcher ohne Farbverschnitt geliefert, auch wenn die Abbildungen einen Farbverschnitt zeigen. Auflage: 2. Auflage, 21002 Erscheinungsjahr: 24. 08. 2021 Produktform: Leinen, Gebunden Titel der Reihe: Springer Texts in Statistics## Autoren: James, Gareth & Witten, Daniela & Hastie, Trevor & Tibshirani, Robert Auflage Ausgabe: 2. Auflage Seitenzahl Blattzahl: 607 Abbildungen: 4
with Applications in R
| EAN: | 9781071614174 |
| Farbverschnitt: | Generell werden die Bücher ohne Farbverschnitt geliefert, auch wenn die Abbildungen einen Farbverschnitt zeigen. |
| Auflage: | 2. Auflage, 21002 |
| Erscheinungsjahr: | 24.08.2021 |
| Produktform: | Leinen, Gebunden |
| Titel der Reihe: | Springer Texts in Statistics## |
| Autoren: | James, Gareth & Witten, Daniela & Hastie, Trevor & Tibshirani, Robert |
| Auflage/Ausgabe: | 2. Auflage |
| Seitenzahl/Blattzahl: | 607 |
| Abbildungen: | 4 schwarz-weiße und 138 farbige Abbildungen, 10 schwarz-weiße Tabellen |
| Themenüberschrift: | MATHEMATICS / Probability & Statistics / General |
| Keyword: | R;R software;data mining;inference;statistical learning;supervised learning;unsupervised learning |
| Fachschema: | Mathematik / Statistik~Programmiersprachen~Statistik~Roboter - Robotik - Industrieroboter~Datenverarbeitung / Anwendungen / Mathematik, Statistik~Intelligenz / Künstliche Intelligenz~KI~Künstliche Intelligenz - AI |
| Fachkategorie: | Wahrscheinlichkeitsrechnung und Statistik~Mathematische und statistische Software~Programmier- und Skriptsprachen, allgemein~Künstliche Intelligenz, Robotik |
| Bildungszweck: | für die Hochschule |
| Thema: | Verstehen |
| Text Sprache: | eng |
| Seitenanzahl: | XV, 607 |
| Verlag: | Springer-Verlag GmbH, Springer US, New York, N.Y. |
| Länge: | 160 mm |
| Breite: | 240 mm |
| Höhe: | 31 mm |
| Gewicht: | 1010 gr |
| Genre: | Importe |
| Herkunftsland: | VEREINIGTE STAATEN VON AMERIKA (US) |
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4.5 ★★★★★
Based on 19 reviews
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Product Reviews
★★★★★ 5
A must have for every intelligence professional - collector or analyst!
Format: Paperback
An excellent resource for any intelligence collector or analyst. The chapters are written by world-class experts in each discipline with an excellent final chapter on collection management written by Drs. Lowenthal and Clark. Each chapter defines the elements of the particular intelligence discipline, its history and producers, as well as how the INT is managed and explores likely future trends. An extensively researched and documented text that is nonetheless an approachable resource that would make an excellent addition to any intelligence related syllabus.
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Reviewed in the United States on February 9, 2015
★★★★★ 4
informative
Format: Paperback
most relevant for today’s challenges
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Reviewed in the United States on August 17, 2018
★★★★★ 5
Great for grad students
Format: Paperback
Bought this as a textbook for my class; good book
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Reviewed in the United States on August 20, 2020
★★★★★ 3
Good Review of the Intel Disciplines
Format: Kindle
I rented this book as required for an intelligence collections course I as taking. It is a good rundown on the different INT disciplines and the bureaucratic organizations managing the different INT categories. This book does not really touch on the various collection programs used to manage collections, or what the nomenclature of those requirements are, so reading this book will not teach you about intelligence collection management beyond gaining a foundational understanding of what the various INTs are used for.
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Reviewed in the United States on December 13, 2019
★★★★★ 1
Don't buy school books from Amazon
Format: Paperback
Thought I bought new, book came with an obsurd "Amazon Rentals" sticker on it. Looks used and abused. Will not be buying books needed for school from Amazon ever again.
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Reviewed in the United States on March 6, 2021