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A tour of data science = learn R and...

Zhang, Nailong.

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A tour of data science = learn R and Python in parallel /

Record Type:	Electronic resources : Monograph/item
Title/Author:	A tour of data science/ Nailong Zhang.
Reminder of title:	learn R and Python in parallel /
Author:	Zhang, Nailong.
Published:	Boca Raton, FL ;CRC Press, : 2021.,
Description:	1 online resource (x, 206 p.)
Notes:	"A Chapman & Hall book."
Subject:	Data mining. -
Online resource:	https://www.taylorfrancis.com/books/9781003020646
ISBN:	9781003020646

A tour of data science = learn R and Python in parallel /
Zhang, Nailong.

A tour of data sciencelearn R and Python in parallel /[electronic resource] :Nailong Zhang. - 1st ed. - Boca Raton, FL ;CRC Press,2021. - 1 online resource (x, 206 p.) - Chapman & Hall/CRC big data series. - Chapman & Hall/CRC big data series..

"A Chapman & Hall book."

Includes bibliographical references and index.

A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics, optimization, and machine learning in a single short book. It does not cover everything, but rather, teaches the key concepts and topics in Data Science. It also covers two of the most popular programming languages used in Data Science, R and Python, in one source. Key features: Allows you to learn R and Python in parallel Cover statistics, programming, optimization and predictive modelling, and the popular data manipulation tools data.table and pandas Provides a concise and accessible presentation Includes machine learning algorithms implemented from scratch, linear regression, lasso, ridge, logistic regression, gradient boosting trees, etc. Appealing to data scientists, statisticians, quantitative analysts, and others who want to learn programming with R and Python from a data science perspective.

ISBN: 9781003020646Subjects--Topical Terms:

562972
Data mining.

LC Class. No.: QA76.9.D343 / Z458 2021eb

Dewey Class. No.: 006.3/12

A tour of data science = learn R and Python in parallel /
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050 4 $a QA76.9.D343 $b Z458 2021eb
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100 1 $a Zhang, Nailong. $3 3620678
245 1 2 $a A tour of data science $h [electronic resource] : $b learn R and Python in parallel / $c Nailong Zhang.
250 $a 1st ed.
260 $a Boca Raton, FL ; $a Abingdon, Oxon : $b CRC Press, $c 2021.
300 $a 1 online resource (x, 206 p.)
490 1 $a Chapman & Hall/CRC big data series
500 $a "A Chapman & Hall book."
504 $a Includes bibliographical references and index.
520 $a A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics, optimization, and machine learning in a single short book. It does not cover everything, but rather, teaches the key concepts and topics in Data Science. It also covers two of the most popular programming languages used in Data Science, R and Python, in one source. Key features: Allows you to learn R and Python in parallel Cover statistics, programming, optimization and predictive modelling, and the popular data manipulation tools data.table and pandas Provides a concise and accessible presentation Includes machine learning algorithms implemented from scratch, linear regression, lasso, ridge, logistic regression, gradient boosting trees, etc. Appealing to data scientists, statisticians, quantitative analysts, and others who want to learn programming with R and Python from a data science perspective.
520 $a "A Tour of Data Science : Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics, optimization, and machine learning in a single short book. It does not cover everything, but rather, teaches the key concepts and topics in Data Science. It also covers two of the most popular programming languages used in Data Science, R and Python, in one source"-- $c Provided by publisher.
588 $a Description based on print version record.
650 0 $a Data mining. $3 562972
650 0 $a R (Computer program language) $3 784593
650 0 $a Python (Computer program language) $3 729789
830 0 $a Chapman & Hall/CRC big data series. $3 3231924
856 4 0 $u https://www.taylorfrancis.com/books/9781003020646