Data Analysis
A Gentle Introduction for Future Data Scientists
(Sprache: Englisch)
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.
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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.
Inhaltsverzeichnis zu „Data Analysis “
- 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
Autoren-Porträt von Graham Upton, Dan Brawn
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.
Bibliographische Angaben
- Autoren: Graham Upton , Dan Brawn
- 2023, VIII, 141 Seiten, Maße: 15,8 x 22,9 cm, Taschenbuch, Englisch
- Verlag: Oxford University Press
- ISBN-10: 0192885782
- ISBN-13: 9780192885784
Sprache:
Englisch
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