Brawn Dan (Lecturer Lecturer Department Of Mathematical Sciences University Of Essex Uk)
Brawn Dan (Lecturer Lecturer Department Of Mathematical Sciences University Of Essex Uk) - Data Analysis A Gentle Introduction For Future Data Scientists - Hardcover
Brawn Dan (Lecturer Lecturer Department Of Mathematical Sciences University Of Essex Uk) - Data Analysis A Gentle Introduction For Future Data Scientists - Hardcover
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Binding: Hardcover
Description: Data analysis has been a hot topic for a number of years and many future data scientists have backgrounds that are relatively light in mathematics. This slim volume provides a very approachable guide to the techniques of the subject designed with such people in mind. Formulae are kept to a minimum but the book's scope is broad introducing the basic ideas of probability and statistics and more advanced techniques such as generalised linear models classification using logistic regression and support - vector machines. An essential feature of the book is that it does not tie to any particular software. The methods introduced in this book could also be implemented using any other statistical software and applying any major statistical package. Academically the book amounts to a first course practical for those at the undergraduate level either as part of a mathematics/statistics degree or as a data - oriented option for a non - mathematics degree. The book appeals to would - be data scientists who may be formula shy. However it could also be a relevant purchase for statisticians and mathematicians for whom data science is a new departure overall appealing to any computer - literate reader with data to analyse.
Title: Data Analysis A Gentle Introduction For Future Data Scientists
Author(s): Brawn Dan (Lecturer Lecturer Department Of Mathematical Sciences University Of Essex Uk)
Publisher: Oxford University Press
Barcode: 9780192885777
Pages: 160 Pages
Publication Date: 11/28/2023
Category: Maths For Scientists
Description: Data analysis has been a hot topic for a number of years and many future data scientists have backgrounds that are relatively light in mathematics. This slim volume provides a very approachable guide to the techniques of the subject designed with such people in mind. Formulae are kept to a minimum but the book's scope is broad introducing the basic ideas of probability and statistics and more advanced techniques such as generalised linear models classification using logistic regression and support - vector machines. An essential feature of the book is that it does not tie to any particular software. The methods introduced in this book could also be implemented using any other statistical software and applying any major statistical package. Academically the book amounts to a first course practical for those at the undergraduate level either as part of a mathematics/statistics degree or as a data - oriented option for a non - mathematics degree. The book appeals to would - be data scientists who may be formula shy. However it could also be a relevant purchase for statisticians and mathematicians for whom data science is a new departure overall appealing to any computer - literate reader with data to analyse.
Title: Data Analysis A Gentle Introduction For Future Data Scientists
Author(s): Brawn Dan (Lecturer Lecturer Department Of Mathematical Sciences University Of Essex Uk)
Publisher: Oxford University Press
Barcode: 9780192885777
Pages: 160 Pages
Publication Date: 11/28/2023
Category: Maths For Scientists
