An Introduction to Statistical Learning with Applications in Python
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An Introduction to Statistical Learning with Applications in Python
Summary
An Introduction to Statistical Learning with Applications in Python is a book edition[1].
Key Facts
- An Introduction to Statistical Learning with Applications in Python authored Gareth James[2].
- An Introduction to Statistical Learning with Applications in Python authored Daniela Witten[3].
- An Introduction to Statistical Learning with Applications in Python authored Trevor Hastie[4].
- An Introduction to Statistical Learning with Applications in Python authored Robert Tibshirani[5].
- An Introduction to Statistical Learning with Applications in Python authored Jonathan E. Taylor[6].
- An Introduction to Statistical Learning with Applications in Python's instance of is recorded as book edition[7].
- An Introduction to Statistical Learning with Applications in Python's publisher is recorded as Springer Nature Switzerland AG[8].
- An Introduction to Statistical Learning with Applications in Python's genre is recorded as reference work[9].
- An Introduction to Statistical Learning with Applications in Python's part of the series is recorded as Springer Texts in Statistics[10].
- An Introduction to Statistical Learning with Applications in Python's ISBN-13 is recorded as 978-3-031-38746-3[11].
- An Introduction to Statistical Learning with Applications in Python's ISBN-13 is recorded as 978-3-031-39189-7[12].
- An Introduction to Statistical Learning with Applications in Python's ISBN-13 is recorded as 978-3-031-38747-0[13].
- An Introduction to Statistical Learning with Applications in Python's DOI is recorded as 10.1007/978-3-031-38747-0[14].
- An Introduction to Statistical Learning with Applications in Python's language of work or name is recorded as English[15].
- An Introduction to Statistical Learning with Applications in Python's publication date is recorded as +2023-06-30T00:00:00Z[16].
- An Introduction to Statistical Learning with Applications in Python's edition or translation of is recorded as An Introduction to Statistical Learning[17].
- An Introduction to Statistical Learning with Applications in Python's zbMATH Open document ID is recorded as 07724265[18].
- An Introduction to Statistical Learning with Applications in Python's main subject is recorded as machine learning[19].
- An Introduction to Statistical Learning with Applications in Python's number of pages is recorded as {'unit': '1', 'amount': '+607'}[20].
- An Introduction to Statistical Learning with Applications in Python's title is recorded as An Introduction to Statistical Learning[21].
- An Introduction to Statistical Learning with Applications in Python's subtitle is recorded as with Applications in Python[22].
Body
Authorship and Creation
Authored works include Gareth James[2], a mathematician[23], awarded the Fulbright Scholarship[24]; Daniela Witten[3], a biostatistician[25], b. 2000[26], of United States[27], awarded the Raymond J. Carroll Young Investigator Award[28], specialised in biostatistics[29]; Trevor Hastie[4], a statistician[30], b. 1953[31], of United States[32], awarded the Fellow of the Royal Statistical Society[33], specialised in statistics[34]; Robert Tibshirani[5], a statistician[35], b. 1956[36], of United States[37], awarded the Guggenheim Fellowship[38], specialised in statistics[39]; and Jonathan E. Taylor[6], a statistician[40], specialised in statistics[41]. An Introduction to Statistical Learning with Applications in Python's publisher is recorded as Springer Nature Switzerland AG[8].
Publication
An Introduction to Statistical Learning with Applications in Python's publication date is recorded as +2023-06-30T00:00:00Z[16]. Its language of work or name is recorded as English[15]. Its genre is recorded as reference work[9]. Its part of the series is recorded as Springer Texts in Statistics[10].
Subject and Themes
An Introduction to Statistical Learning with Applications in Python's main subject is recorded as machine learning[19]. Its part of the series is recorded as Springer Texts in Statistics[10].