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Introduction to data science :data a...

Irizarry, Rafael A.,

Introduction to data science :data analysis and prediction algorithms with R /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Introduction to data science :Rafael A. Irizarry.
其他題名:	data analysis and prediction algorithms with R /
作者:	Irizarry, Rafael A.,
面頁冊數:	xxx, 713 pages p. ; 26 cm.
附註:	Includes index.
標題:	R (Computer program language)
電子資源:	https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2160994
電子資源:	https://public.ebookcentral.proquest.com/choice/publicfullrecord.aspx?p=5981987
電子資源:	https://www.taylorfrancis.com/books/e/9780429341830
ISBN:	9780429341830

Introduction to data science :data analysis and prediction algorithms with R /
Irizarry, Rafael A.,

Introduction to data science :data analysis and prediction algorithms with R /Rafael A. Irizarry. - xxx, 713 pages p. ; 26 cm.

Includes index.

Getting started with R and RStudio -- R Basics -- Programming basics -- The tidyverse -- Importing data -- Introduction to data visualization -- ggplot2 -- Visualizing data distributions -- Data visualization in practice -- Data visualization principles -- Robust summaries -- Introduction to statistics with R -- Probability -- Random variables -- Statistical inference -- Statistical models -- Regression -- Linear models -- Association is not causation -- Introduction to data wrangling -- Reshaping data -- Joining tables -- Web scraping -- String processing -- Parsing dates and times -- Text mining -- Introduction to machine learning -- Smoothing -- Cross validation -- The caret package -- Examples of algorithms -- Machine learning in practice -- Large datasets -- Clustering -- Introduction to productivty tools -- Organizing with Unix -- Git and GitHub -- Reproducible projects with RStudio and R markdown.

"The book begins by going over the basics of R and the tidyverse. You learn R throughout the book, but in the first part we go over the building blocks needed to keep learning during the rest of the book"--

Rafael A. Irizarry is professor of data sciences at the Dana-Farber Cancer Institute, professor of biostatistics at Harvard, and a fellow of the American Statistical Association. Dr. Irizarry is an applied statistician and during the last 20 years has worked in diverse areas, including genomics, sound engineering, and public health. He disseminates solutions to data analysis challenges as open source software, tools that are widely downloaded and used. Prof. Irizarry has also developed and taught several data science courses at Harvard as well as popular online courses.

ISBN: 9780429341830

Source: 9780429341830Taylor & Francis

LCCN: 2019025161Subjects--Topical Terms:

210846
R (Computer program language)
Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: QA276.45.R3 / I75 2020

Dewey Class. No.: 005.362

Introduction to data science :data analysis and prediction algorithms with R /
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245 1 0 $a Introduction to data science : $b data analysis and prediction algorithms with R / $c Rafael A. Irizarry.
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300 $a xxx, 713 pages p. ; $c 26 cm.
336 $a text $b txt $2 rdacontent
337 $a computer $b n $2 rdamedia
338 $a online resource $b nc $2 rdacarrier
500 $a Includes index.
505 0 $a Getting started with R and RStudio -- R Basics -- Programming basics -- The tidyverse -- Importing data -- Introduction to data visualization -- ggplot2 -- Visualizing data distributions -- Data visualization in practice -- Data visualization principles -- Robust summaries -- Introduction to statistics with R -- Probability -- Random variables -- Statistical inference -- Statistical models -- Regression -- Linear models -- Association is not causation -- Introduction to data wrangling -- Reshaping data -- Joining tables -- Web scraping -- String processing -- Parsing dates and times -- Text mining -- Introduction to machine learning -- Smoothing -- Cross validation -- The caret package -- Examples of algorithms -- Machine learning in practice -- Large datasets -- Clustering -- Introduction to productivty tools -- Organizing with Unix -- Git and GitHub -- Reproducible projects with RStudio and R markdown.
520 $a "The book begins by going over the basics of R and the tidyverse. You learn R throughout the book, but in the first part we go over the building blocks needed to keep learning during the rest of the book"-- $c Provided by publisher.
545 0 $a Rafael A. Irizarry is professor of data sciences at the Dana-Farber Cancer Institute, professor of biostatistics at Harvard, and a fellow of the American Statistical Association. Dr. Irizarry is an applied statistician and during the last 20 years has worked in diverse areas, including genomics, sound engineering, and public health. He disseminates solutions to data analysis challenges as open source software, tools that are widely downloaded and used. Prof. Irizarry has also developed and taught several data science courses at Harvard as well as popular online courses.
588 0 $a Online resource; title from digital title page (viewed on April 06, 2020).
650 0 $a R (Computer program language) $3 210846
650 0 $a Information visualization. $3 248886
650 0 $a Data mining. $3 184440
650 0 $a Statistics $x Data processing. $3 183693
650 0 $a Probabilities $x Data processing. $3 199028
650 0 $a Computer algorithms. $3 184478
650 0 $a Quantitative research. $3 367894
650 7 $a MATHEMATICS $x Probability & Statistics $x General. $2 bisacsh $3 538455
655 4 $a Electronic books. $2 local. $3 214472
776 0 8 $i Print version: $a Irizarry, Rafael A. $t Introduction to data science. $d [Boca Raton] : [CRC Press], [2019] $z 9780367357986 $w (DLC) 2019025160
856 4 0 $3 EBSCOhost $u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2160994
856 4 0 $3 ProQuest Ebook Central $u https://public.ebookcentral.proquest.com/choice/publicfullrecord.aspx?p=5981987
856 4 0 $3 Taylor & Francis $u https://www.taylorfrancis.com/books/e/9780429341830
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https://www.taylorfrancis.com/books/e/9780429341830

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