MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02447cam a22003735i 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
20620330 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20231019114335.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
180807s2018 mau 000 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2018954331 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9780134116549 (pbk.) |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
DLC |
| Language of cataloging |
eng |
| Description conventions |
rda |
| Transcribing agency |
TUPM |
| 042 ## - AUTHENTICATION CODE |
|---|
| Authentication code |
pcc |
| 050 #0 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
Q 325.5 |
| Item number |
K45 2019 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Kelleher, Adam. |
| 245 00 - TITLE STATEMENT |
|---|
| Title |
Machine learning in production : |
| Remainder of title |
developing and optimizing data science workflows and applications / |
| Statement of responsibility, etc. |
Adam Kelleher, Andrew Kelleher. |
| 263 ## - PROJECTED PUBLICATION DATE |
|---|
| Projected publication date |
1811 |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Boston, MA : |
| Name of producer, publisher, distributor, manufacturer |
Addison-Wesley, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2019. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xx, 255 pages : |
| Other physical details |
illustrations (some color) ; |
| 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 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes index and bibliographical references |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
I. Principles of framing. The role of the data scientist Project workflow Quantifying error Data encoding and preprocessing Hypothesis testing Data visualization II. Algorithms and architectures. Introduction to algorithms and architectures Comparison Regression Classification and clustering Bayesian networks Dimensional reduction and latent variable models Causal inference Advanced machine learning III. Bottlenecks and optimizations. Hardware fundamentals Software fundamentals Software architecture The CAP theorem Logical network topological nodes |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
"Machine Learning in Production is a crash course in data science and machine learning for people who need to solve real-world problems in production environments. Written for technically competent "accidental data scientists" with more curiosity and ambition than formal training, this complete and rigorous introduction stresses practice, not theory. Building on agile principles, Andrew and Adam Kelleher show how to quickly deliver significant value in production, resisting overhyped tools and unnecessary complexity. Drawing on their extensive experience, they help you ask useful questions and then execute production projects from start to finish... |
| 650 10 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Machine learning |
| 650 10 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Mathematical statistics |
| General subdivision |
Data processing |
| 650 10 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Quantitative research |
| 650 10 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Cloud computing |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
|---|
| a |
0 |
| b |
ibc |
| c |
orignew |
| d |
2 |
| e |
epcn |
| f |
20 |
| g |
y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Book |