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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 science
learn 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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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"--
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https://www.taylorfrancis.com/books/9781003020646
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W9449868
電子資源
11.線上閱覽_V
電子書
EB QA76.9.D343 Z458 2021eb
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