MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03289cam a2200493 i 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
22019319 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20241219093646.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
210503t20202020nyua 001 0 eng d |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2020455630 |
| 015 ## - NATIONAL BIBLIOGRAPHY NUMBER |
|---|
| National bibliography number |
GBC154077 |
| Source |
bnb |
| 016 7# - NATIONAL BIBLIOGRAPHIC AGENCY CONTROL NUMBER |
|---|
| Record control number |
019827535 |
| Source |
Uk |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
1617295833 |
| Qualifying information |
paperback |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781617295836 |
| Qualifying information |
paperback |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
(OCoLC)on1083681967 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
YDX |
| Language of cataloging |
eng |
| Transcribing agency |
Amiu |
| Modifying agency |
JRZ |
| -- |
BDX |
| -- |
OCLCF |
| -- |
NYP |
| -- |
YDXIT |
| -- |
UKMGB |
| -- |
DLC |
| 042 ## - AUTHENTICATION CODE |
|---|
| Authentication code |
lccopycat |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
Q325.5 |
| Item number |
.H83 2020 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Hudgeon, Doug, |
| Relator term |
author |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Machine learning for business : |
| Remainder of title |
using Amazon SageMaker and Jupyter / |
| Statement of responsibility, etc. |
Doug Hudgeon and Richard Nichol. |
| 246 30 - VARYING FORM OF TITLE |
|---|
| Title proper/short title |
Using Amazon SageMaker and Jupyter |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Shelter Island, NY : |
| Name of producer, publisher, distributor, manufacturer |
Manning Publications Co., |
| Date of production, publication, distribution, manufacture, or copyright notice |
[2020] |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Date of production, publication, distribution, manufacture, or copyright notice |
©2020 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xxi, 256 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
24 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 |
Includes index. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Part 1. Machine learning for business. How machine learning applies to your business -- Part 2. Six scenarios: machine learning for business. Should you send a purchase order to a technical approver? -- Should you call a customer because they are at risk of churning? -- Should an incident be escalated to your support team? -- Should you question an invoice sent by a supplier? -- Forecasting your company's monthly power usage -- Improving your company's monthly power usage forecast -- Part 3. Moving machine learning into production. Serving predictions over the web -- Case studies. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
"Machine learning can deliver hugs benefits for everyday business tasks. With some guidance, you can get those big wins yourself without complex math or highly paid consultants! If you can crunch numbers in Excel, you can use modern ML services to efficiently direct marketing dollars, identify and keep your best customers, and optimize back office processes. This book shows you how. "Machine learning for business" teaches business-oriented machine learning techniques you can do yourself. Concentrating on practical topics like customer retention, forecasting, and back office processes, you'll work through six projects that help you form an ML-for-business mindset. To guarantee your success, you'll use the Amazon SageMaker ML service, which makes it a snap to turn your questions into results."-- |
| Assigning source |
Provided by publisher |
| 583 ## - ACTION NOTE |
|---|
| Action |
Cataloging Notes: |
| Time/date of action |
20241219 |
| Action agent |
STAMIU-0199STAMIU-0199 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Machine learning. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Artificial intelligence |
| General subdivision |
Industrial applications. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Business enterprises |
| General subdivision |
Technological innovations. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Industrial productivity |
| General subdivision |
Automation. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Artificial intelligence |
| General subdivision |
Industrial applications. |
| Source of heading or term |
fast |
| Authority record control number or standard number |
(OCoLC)fst00817262 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Business enterprises |
| General subdivision |
Technological innovations. |
| Source of heading or term |
fast |
| Authority record control number or standard number |
(OCoLC)fst00842646 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Industrial productivity |
| General subdivision |
Automation. |
| Source of heading or term |
fast |
| Authority record control number or standard number |
(OCoLC)fst00971504 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Machine learning. |
| Source of heading or term |
fast |
| Authority record control number or standard number |
(OCoLC)fst01004795 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Nichol, Richard, |
| Relator term |
author |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
|---|
| a |
7 |
| b |
cbc |
| c |
copycat |
| d |
2 |
| e |
ncip |
| f |
20 |
| g |
y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Book |
| Suppress in OPAC |
No |