MARC details
| 000 -LEADER |
| fixed length control field |
02855cam a22004577i 4500 |
| 001 - CONTROL NUMBER |
| control field |
57659 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
| control field |
20260104150101.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
| fixed length control field |
210909t20202020caua e b 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
| LC control number |
2018420845 |
| 015 ## - NATIONAL BIBLIOGRAPHY NUMBER |
| National bibliography number |
GBC061788 |
| Source |
bnb |
| 016 7# - NATIONAL BIBLIOGRAPHIC AGENCY CONTROL NUMBER |
| Record control number |
019800669 |
| Source |
Uk |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| ISBN |
9781492072942 |
| Qualifying information |
(paperback) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| ISBN |
149207294X |
| Qualifying information |
(paperback) |
| 035 ## - SYSTEM CONTROL NUMBER |
| System control number |
22227145 |
| 035 ## - SYSTEM CONTROL NUMBER |
| System control number |
(OCoLC)1158315601 |
| 040 ## - CATALOGING SOURCE |
| Original cataloging agency |
UTV |
| Language of cataloging |
eng |
| Transcribing agency |
UTV |
| Description conventions |
rda |
| Modifying agency |
UTV |
| -- |
AHH |
| -- |
OCLCF |
| -- |
YDXIT |
| -- |
UKMGB |
| -- |
IBI |
| -- |
OCLCO |
| -- |
YDX |
| -- |
JAS |
| -- |
OCL |
| -- |
DLC |
| 042 ## - AUTHENTICATION CODE |
| Authentication code |
lccopycat |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
| Classification number |
QA276.4 |
| Item number |
.B78 2020 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
| Classification number |
001.4/22 |
| Edition number |
23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
| Personal name |
Bruce, Peter C., |
| Dates associated with a name |
1953- |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
| Title |
Practical statistics for data scientists : |
| Remainder of title |
50+ essential concepts using R and Python / |
| Statement of responsibility, etc |
Peter Bruce, Andrew Bruce, and Peter Gedeck. |
| 250 ## - EDITION STATEMENT |
| Edition statement |
Second edition. |
| 300 ## - PHYSICAL DESCRIPTION |
| Extent |
xvi, 342 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
24 cm |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
| Bibliography, etc |
Includes bibliographical references (pages 327-328) and index. |
| 505 0# - FORMATTED CONTENTS NOTE |
| Formatted contents note |
Exploratory Data Analysis -- Data and Sampling Distributions -- Statistical Experiments and Significance Testing -- Regression and Prediction -- Classification -- Statistical Machine Learning -- Unsupervised Learning. |
| 520 ## - SUMMARY, ETC. |
| Summary, etc |
Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this practical guide-now including examples in Python as well as R-explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data scientists use statistical methods but lack a deeper statistical perspective. If you're familiar with the R or Python programming languages, and have had some exposure to statistics but want to learn more, this quick reference bridges the gap in an accessible, readable format. With this updated edition, you'll dive into: Exploratory data analysis Data and sampling distributions Statistical experiments and significance testing Regression and prediction Classification Statistical machine learning Unsupervised learning.-- |
| 526 ## - STUDY PROGRAM INFORMATION NOTE |
| School name |
School of engineering, Technology &Sciences |
| Department |
Physical Science |
| Shelving Location |
Reference Stacks |
| 541 ## - IMMEDIATE SOURCE OF ACQUISITION NOTE |
| Source of acquisition |
Trim Education |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Mathematical analysis |
| General subdivision |
Statistical methods. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Quantitative research |
| General subdivision |
Statistical methods. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
R (Computer program language) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Python (Computer program language) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Statistics |
| General subdivision |
Data processing. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Python (Computer program language) |
| Source of heading or term |
fast |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
R (Computer program language) |
| Source of heading or term |
fast |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Statistics |
| General subdivision |
Data processing. |
| Source of heading or term |
fast |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
| Personal name |
Bruce, Andrew, |
| Dates associated with a name |
1958- |
| Relator term |
author. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
| Personal name |
Gedeck, Peter, |
| Relator term |
author. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |