Modern data science with R (Record no. 207228)

000 -LEADER
fixed length control field 01897cam a2200241 i 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 170913b2017 xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781498724487
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.312
Item number B2M6
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Baumer, Benjamin
9 (RLIN) 348440
245 10 - TITLE STATEMENT
Title Modern data science with R
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Boca Raton
Name of publisher, distributor, etc CRC Press Taylor and Francis Group
Date of publication, distribution, etc 2017
300 ## - PHYSICAL DESCRIPTION
Extent xvi, 551 p.
Dimensions 27 cm
490 0# - SERIES STATEMENT
Series statement Chapman & Hall/CRC texts in statistical science series
520 ## - SUMMARY, ETC.
Summary, etc Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world problems with data. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningful information from a variety of data in the service of addressing compelling statistical questions.

Contemporary data science requires a tight integration of knowledge from statistics, computer science, mathematics, and a domain of application. This book will help readers with some background in statistics and modest prior experience with coding develop and practice the appropriate skills to tackle complex data science projects. The book features a number of exercises and has a flexible organization conducive to teaching a variety of semester courses.

https://www.crcpress.com/Modern-Data-Science-with-R/Baumer-Kaplan-Horton/p/book/9781498724487
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining
9 (RLIN) 348400
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Big data
9 (RLIN) 348401
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematical statistics - data processing
9 (RLIN) 348402
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element R - computer program language
9 (RLIN) 348403
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data analysis - applied mathematics
9 (RLIN) 348441
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kaplan, Daniel T.
Relator term Co-author
9 (RLIN) 348404
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Horton, Nicholas J.
Relator term Co-author
9 (RLIN) 348405
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Permanent location Current location Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Total Renewals Full call number Barcode Checked out Date last seen Date last borrowed Cost, replacement price Koha item type
          Non-fiction Vikram Sarabhai Library Vikram Sarabhai Library General Stacks 2017-09-18 6 4412.75 2 4 006.312 B2M6 195170 2019-09-05 2018-09-11 2018-09-11 5515.94 Books

Powered by Koha