008 |
|
201130s2021 flu ob 001 0 eng d |
020 |
|
|a9781003020646|q(electronic bk.)
|
020 |
|
|a100302064X|q(electronic bk.)
|
020 |
|
|a9781000215274|q(electronic bk. ;|qEPUB)
|
020 |
|
|a100021527X|q(electronic bk. ;|qEPUB)
|
020 |
|
|a9781000215199|q(electronic bk. ;|qPDF)
|
020 |
|
|a1000215199|q(electronic bk. ;|qPDF)
|
020 |
|
|a9781000215236|q(electronic bk. ;|qMobipocket)
|
020 |
|
|a1000215237|q(electronic bk. ;|qMobipocket)
|
020 |
|
|z9780367897062
|
020 |
|
|z9780367895860
|
040 |
|
|aOCoLC-P|beng|cOCoLC-P
|
041 |
0
|
|aeng
|
050 |
4
|
|aQA76.9.D343|bZ458 2021eb
|
082 |
04
|
|a006.3/12|223
|
100 |
1
|
|aZhang, Nailong.
|
245 |
12
|
|aA tour of data science|h[electronic resource] :|blearn R and Python in parallel /|cNailong Zhang.
|
250 |
|
|a1st ed.
|
260 |
|
|aBoca Raton, FL ;|aAbingdon, Oxon :|bCRC Press,|c2021.
|
300 |
|
|a1 online resource (x, 206 p.)
|
490 |
1
|
|aChapman & Hall/CRC big data series
|
500 |
|
|a"A Chapman & Hall book."
|
504 |
|
|aIncludes bibliographical references and index.
|
520 |
|
|aA 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"--|cProvided by publisher.
|
588 |
|
|aDescription based on print version record.
|
650 |
0
|
|aData mining.
|
650 |
0
|
|aR (Computer program language)
|
650 |
0
|
|aPython (Computer program language)
|
830 |
0
|
|aChapman & Hall/CRC big data series.
|
856 |
40
|
|uhttps://www.taylorfrancis.com/books/9781003020646
|