國立虎尾科技大學 |

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

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	A tour of data science/ Nailong Zhang.
其他題名:	learn R and Python in parallel /
作者:	Zhang, Nailong.
出版者:	Boca Raton, FL ;CRC Press, : 2021.,
面頁冊數:	1 online resource (x, 206 p.)
附註:	"A Chapman & Hall book."
標題:	Data mining. -
電子資源:	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:

528622
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 /
LDR:02755cam a2200397 a 4500 001 1096839
003 FlBoTFG
005 20210104012422.0
006 m o d
007 cr cnu---unuuu
008 221229s2021 flu ob 001 0 eng d
020 $a 9781003020646 $q (electronic bk.)
020 $a 100302064X $q (electronic bk.)
020 $a 9781000215274 $q (electronic bk. ; $q EPUB)
020 $a 100021527X $q (electronic bk. ; $q EPUB)
020 $a 9781000215199 $q (electronic bk. ; $q PDF)
020 $a 1000215199 $q (electronic bk. ; $q PDF)
020 $a 9781000215236 $q (electronic bk. ; $q Mobipocket)
020 $a 1000215237 $q (electronic bk. ; $q Mobipocket)
020 $z 9780367897062
020 $z 9780367895860
035 $a 9781003020646
040 $a OCoLC-P $b eng $c OCoLC-P
041 0 $a eng
050 4 $a QA76.9.D343 $b Z458 2021eb
082 0 4 $a 006.3/12 $2 23
100 1 $a Zhang, Nailong. $3 1406292
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 528622
650 0 $a R (Computer program language) $3 679069
650 0 $a Python (Computer program language) $3 566246
830 0 $a Chapman & Hall/CRC big data series. $3 1100102
856 4 0 $u https://www.taylorfrancis.com/books/9781003020646