| 000 -LEADER |
|---|
| fixed length control field |
03209cam a22003978i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
CITU |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20240502152533.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
220125s2023 nyu 000 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2021058431 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781266108334 |
| 041 ## - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
eng |
| 042 ## - AUTHENTICATION CODE |
|---|
| Authentication code |
pcc |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
HD30.23 |
| Item number |
.T3245 2023 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
658.4/03 |
| Edition number |
23/eng/20220125 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Preferred name for the person |
Taddy, Matt, |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Modern business analytics : |
| Remainder of title |
practical data science for decision-making / |
| Statement of responsibility, etc |
Matt Taddy, Amazon, Inc., Leslie Hendrix, University of South Carolina, Matthew Harding, University of California, Irvine. |
| 263 ## - PROJECTED PUBLICATION DATE |
|---|
| Projected publication date |
2202 |
| 264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
New York, NY : |
| Name of publisher, distributor, etc |
McGraw Hill Education, |
| Date of publication, distribution, etc |
[2023] |
| 264 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Date of publication, distribution, etc |
©2023 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xxii, 442 pages : |
| Other physical details |
illustrations; |
| Dimensions |
26 cm |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
unmediated |
| Media type code |
n |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
volume |
| Carrier type code |
nc |
| Source |
rdacarrier |
| 500 ## - GENERAL NOTE |
|---|
| General note |
About the Author<br/>Matt Taddy<br/><br/>Leslie Hendrix<br/><br/>Leslie Hendrix is a clinical associate professor in the Darla Moore School of Business at the University of South Carolina. She received her PhD in statistics in 2011 and a BS in mathematics in 2005 from the University of South Carolina. She has received two university-wide teaching awards for her work in teaching business analytics and statistics courses and is active in the research and teaching communities for analytics. She was instrumental in founding the Moore School’s newly formed Data Lab and currently serves as the assistant director.<br/><br/>Matthew Harding<br/><br/>Matthew C. Harding is a professor of economics and statistics at the University of California, Irvine. He holds a PhD from MIT and an M.Phil. from Oxford University. Dr. Harding conducts research on econometrics, consumer finance, health policy, and energy economics and has published widely in leading academic journals. He is the founder of Ecometricx, LLC, a big data and machine learning consulting company, and cofounder of FASTlab.global Institute, a nonprofit focusing on education and evidence-based policies in the areas of fair access and sustainable technologies. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references and index. |
| 505 0# - CONTENTS |
|---|
| Formatted contents note |
Chapter 1: Regression <br/>Chapter 2: Uncertainty Quantification <br/>Chapter 3: Regularization and Selection <br/>Chapter 4: Classification <br/>Chapter 5: Causal Inference with Experiments <br/>Chapter 6: Causal Inference with Controls <br/>Chapter 7: Trees and Forests <br/>Chapter 8: Factor Models <br/>Chapter 9: Text as Data <br/>Chapter 10: Deep Learning <br/>Appendix: R Primer |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
"The practice of data analytics is changing and modernizing. Innovations in computation and machine learning are creating new opportunities for the data analyst: exposing previously unexplored data to scientific analysis, scaling tasks through automation, and allowing deeper and more accurate modeling"-- |
| Assigning source |
Provided by publisher. |
| 521 ## - TARGET AUDIENCE NOTE |
|---|
| Target audience note |
Ages 18+ |
| Source |
McGraw Hill Education. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Decision making |
| General subdivision |
Econometric models. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Machine learning. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Hendrix, Leslie |
| Relator term |
author. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Harding, Matthew, |
| Dates associated with a name |
1974- |
| Relator term |
author. |
| 942 ## - ADDED ENTRY ELEMENTS |
|---|
| Source of classification or shelving scheme |
|
| Item type |
BOOK |