MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02065nam a22003017i 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20250813154223.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
250805s2024 flua|||fr|||| 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9780367755386 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
EG-GaU |
| Transcribing agency |
EG-GaU |
| Modifying agency |
EG-GaU |
| Description conventions |
rda |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Edition number |
23 |
| Classification number |
006.3 |
| Item number |
T.D.D |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Truong, Dothang, |
| Relator term |
author. |
| 9 (RLIN) |
62633 |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Data Science and Machine Learning for Non‑Programmers: |
| Remainder of title |
Using SAS Enterprise Miner / |
| Statement of responsibility, etc. |
Dothang Truong. |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
First edition. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Boca Raton, FL : |
| Name of producer, publisher, distributor, manufacturer |
CRC Press, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2024. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
577 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
26 cm. |
| 336 ## - CONTENT TYPE |
|---|
| Source |
rdacontent |
| Content type term |
text |
| Content type code |
txt |
| 337 ## - MEDIA TYPE |
|---|
| Source |
rdamedia |
| Media type term |
unmediated |
| Media type code |
n |
| 338 ## - CARRIER TYPE |
|---|
| Source |
rdacarrier |
| Carrier type term |
volume |
| Carrier type code |
nc |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references and index. |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Part I: Introduction to Data Mining – 1. Introduction to Data Mining and Data Science; 2. Data Mining Processes, Methods, and Software; 3. Data Sampling and Partitioning; 4. Data Visualization and Exploration; 5. Data Modification; Part II: Data Mining Methods – 6. Model Evaluation; 7. Regression Methods; 8. Decision Trees; 9. Neural Networks; 10. Ensemble Modeling; 11. Presenting Results and Writing Data Mining Reports; 12. Principal Component Analysis; 13. Cluster Analysis; Part III: Advanced Data Mining Methods – 14. Random Forest; 15. Gradient Boosting; 16. Bayesian Networks.:contentReference[oaicite:2]{index=2} |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
A hands-on introduction to data science and machine learning for non-programmers, guiding readers through practical projects using two large datasets and SAS Enterprise Miner—with no programming required. Covers full data mining workflow, result reporting, and stakeholder communication, aimed at students and professionals across diverse non-technical fields. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Data mining |
| General subdivision |
Study and teaching. |
| 9 (RLIN) |
62634 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Machine learning |
| General subdivision |
Study and teaching. |
| 9 (RLIN) |
60492 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Non‑programmers |
| General subdivision |
Education. |
| 9 (RLIN) |
62635 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
SAS Enterprise Miner. |
| 9 (RLIN) |
62636 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |