| 000 -LEADER |
|---|
| fixed length control field |
01649cam a22003257i 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20220106102621.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
191230s2019 caua b 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781492041139 |
|
|---|
| International Standard Book Number |
1492041130 |
| 041 ## - Language |
|---|
| Language code of text/sound track or separate title |
Eng |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
QA76.73.P98 |
| Item number |
G78 2019 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
005.7565 |
| Edition number |
23 |
| Item number |
G892 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Grus, Joel |
| Titles and other words associated with a name |
(Software engineer), |
| Relator term |
author. |
| 9 (RLIN) |
44821 |
| 245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE |
|---|
| Title |
Data science from scratch : |
| Remainder of title |
first principles with Python / |
| Statement of responsibility, etc |
Joel Grus. |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
2nd ed. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
Sebastopol, CA : |
| Name of publisher, distributor, etc |
O'Reilly Media, |
| Date of publication, distribution, etc |
2019. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xvii, 384 p. : |
| Other physical details |
ill. ; |
| Dimensions |
24 cm. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Introduction -- A crash course in Python -- Visualizing data -- Linear algebra -- Statistics -- Probability -- Hypothesis and inference -- Gradient descent -- Getting data -- Working with data -- Machine learning -- k-Nearest neighbors -- Naive bayes -- Simple linear regression -- Multiple regression -- Logistic regression -- Decision trees -- Neural networks -- Deep learning -- Clustering -- Natural language processing -- Network analysis -- Recommender systems -- Databases and SQL -- MapReduce -- Data ethics -- Go forth and do data science. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Python (Computer program language) |
| 9 (RLIN) |
4569 |
|
|---|
| Topical term or geographic name as entry element |
Database management. |
| 9 (RLIN) |
1182 |
|
|---|
| Topical term or geographic name as entry element |
Data structures (Computer science) |
|
|---|
| Topical term or geographic name as entry element |
Data mining. |
|
|---|
| Topical term or geographic name as entry element |
Data mining |
| General subdivision |
Mathematics. |
| 9 (RLIN) |
44822 |
|
|---|
| Topical term or geographic name as entry element |
Data mining. |
| Source of heading or term |
fast |
|
|---|
| Topical term or geographic name as entry element |
Data structures (Computer science) |
| Source of heading or term |
fast |
|
|---|
| Topical term or geographic name as entry element |
Database management. |
| Source of heading or term |
fast |
|
|---|
| Topical term or geographic name as entry element |
Python (Computer program language) |
| Source of heading or term |
fast |
| 9 (RLIN) |
4569 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Item type |
Book |
