Practical Statistics for Data Scientists 50+ Essential Concepts Using R and Python (Record no. 814545)
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000 -LEADER | |
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fixed length control field | 02334nam a22002777a 4500 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 240125s2020 |||||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781492072942 |
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER | |
ISSN-L | 9781492072942 |
041 ## - LANGUAGE CODE | |
Language code of text/sound track or separate title | English |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 001.422 |
Item number | BRU |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Bruce, Peter |
9 (RLIN) | 879376 |
Relator term | author |
245 ## - TITLE STATEMENT | |
Title | Practical Statistics for Data Scientists 50+ Essential Concepts Using R and Python |
250 ## - EDITION STATEMENT | |
Edition statement | 2nd |
260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
Place of publication, distribution, etc. | Beijing : |
Name of publisher, distributor, etc. | O'Reilly |
Date of publication, distribution, etc. | c2020 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | xvi, 342 p. |
Other physical details | : ill |
504 ## - BIBLIOGRAPHY, ETC. NOTE | |
Bibliography, etc. note | Includes Bibliographical References and Index |
520 ## - SUMMARY, ETC. | |
Summary, etc. | SUMMARY<br/><br/>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 popular guide adds comprehensive examples in Python, provides practical guidance on applying 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 science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R or Python programming languages and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher-quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that "learn" from data Unsupervised learning methods for extracting meaning from unlabeled data |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
9 (RLIN) | 880292 |
Topical term or geographic name entry element | Mathematical Analysis Statistical Methods |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
9 (RLIN) | 880293 |
Topical term or geographic name entry element | Quantitative Research Statistical Methods |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
9 (RLIN) | 152545 |
Topical term or geographic name entry element | R Computer Program Language |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Relator term | author |
Personal name | Bruce, Andrew |
9 (RLIN) | 880294 |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Relator term | author |
Personal name | Gedeck, Peter |
9 (RLIN) | 880295 |
856 ## - ELECTRONIC LOCATION AND ACCESS | |
Link text | TOC |
Uniform Resource Identifier | <a href="https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9781492072942.pdf">https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9781492072942.pdf</a> |
856 ## - ELECTRONIC LOCATION AND ACCESS | |
Link text | WEB LINK |
Uniform Resource Identifier | <a href="https://www.vitalsource.com/en-uk/products/practical-statistics-for-data-scientists-peter-bruce-andrew-bruce-v9781492072898">https://www.vitalsource.com/en-uk/products/practical-statistics-for-data-scientists-peter-bruce-andrew-bruce-v9781492072898</a> |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Dewey Decimal Classification |
Koha item type | Book |
Withdrawn status | Lost status | Source of classification or shelving scheme | Physical Form | Damaged status | Not for loan | Purchased by Department/Discipline | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Stock Type | Cost, normal purchase price | Total Checkouts | Full call number | Barcode | Date last seen | Budget Year | Cost, replacement price | Accession Date | Koha item type |
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Dewey Decimal Classification | Text, Paperback | Department of Software Engineering | Reference Section | Reference Section | Reference Section | 23/01/2024 | 38 | Purchased | 20318.73 | 001.422 BRU | 98602 | 23/01/2024 | 2023-24 | 20318.72 | 23/01/2024 | Reference Collection |