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Data Analysis
A Gentle Introduction for Future Data Scientists
Taschenbuch von Graham Upton (u. a.)
Sprache: Englisch

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Beschreibung
This slim volume provides a very approachable guide to the techniques and basic ideas of probability and statistics and more advanced techniques such as generalised linear models, classification using logistic regression, and support-vector machines.
This slim volume provides a very approachable guide to the techniques and basic ideas of probability and statistics and more advanced techniques such as generalised linear models, classification using logistic regression, and support-vector machines.
Über den Autor
Dr Upton studied at Leicester and Birmingham Universities before taking up a position at the University of Newcastle-upon Tyne. From 1973 until 2014 he taught at the University of Essex, where his responsibilities included time as a dean and as a head of department. His varied data analysis included making sense of British voting figures, identifying gene patterns using microarrays, and estimating rainfall using many different measuring instruments.

Dr Brawn is the holder of two PhDs: in Seismology from the University of Witwatersrand (1989); in Applied Statistics from the University of Essex (2009), both fields involving considerable data analysis. His extensive teaching experience covers many branches of the mathematical sciences and has most recently focused on introducing data analysis to students with limited mathematical background.
Inhaltsverzeichnis
  • 1.: First steps

  • 2.: Summarising data

  • 3.: Probablity

  • 4.: Probability distributions

  • 5.: Estimation and confidence

  • 6.: Models, p-values, and hypotheses

  • 7.: Comparing proportions

  • 8.: Relations between two continous variable

  • 9.: Several explanatory variables

  • 10.: Classification

  • 11.: Last Words

Details
Erscheinungsjahr: 2023
Fachbereich: Analysis
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
ISBN-13: 9780192885784
ISBN-10: 0192885782
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Upton, Graham
Brawn, Dan
Hersteller: Oxford University Press
Maße: 229 x 158 x 12 mm
Von/Mit: Graham Upton (u. a.)
Erscheinungsdatum: 09.2023
Gewicht: 0,295 kg
Artikel-ID: 126727101
Über den Autor
Dr Upton studied at Leicester and Birmingham Universities before taking up a position at the University of Newcastle-upon Tyne. From 1973 until 2014 he taught at the University of Essex, where his responsibilities included time as a dean and as a head of department. His varied data analysis included making sense of British voting figures, identifying gene patterns using microarrays, and estimating rainfall using many different measuring instruments.

Dr Brawn is the holder of two PhDs: in Seismology from the University of Witwatersrand (1989); in Applied Statistics from the University of Essex (2009), both fields involving considerable data analysis. His extensive teaching experience covers many branches of the mathematical sciences and has most recently focused on introducing data analysis to students with limited mathematical background.
Inhaltsverzeichnis
  • 1.: First steps

  • 2.: Summarising data

  • 3.: Probablity

  • 4.: Probability distributions

  • 5.: Estimation and confidence

  • 6.: Models, p-values, and hypotheses

  • 7.: Comparing proportions

  • 8.: Relations between two continous variable

  • 9.: Several explanatory variables

  • 10.: Classification

  • 11.: Last Words

Details
Erscheinungsjahr: 2023
Fachbereich: Analysis
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
ISBN-13: 9780192885784
ISBN-10: 0192885782
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Upton, Graham
Brawn, Dan
Hersteller: Oxford University Press
Maße: 229 x 158 x 12 mm
Von/Mit: Graham Upton (u. a.)
Erscheinungsdatum: 09.2023
Gewicht: 0,295 kg
Artikel-ID: 126727101
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