MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03348cam a22003977i 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
42208 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
0000000000 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20240411193040.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
181009t20182018nyu s 000 0 eng d |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2018288799 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
1617293334 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781617293337 |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
(OCoLC)ocn961933362 |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
20699639 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
YDX |
| Language of cataloging |
eng |
| Transcribing agency |
YDX |
| Description conventions |
rda |
| Modifying agency |
OCLCQ |
| -- |
BTCTA |
| -- |
BDX |
| -- |
UUM |
| -- |
TXP |
| -- |
JRZ |
| -- |
OCLCF |
| -- |
DLC |
| 042 ## - AUTHENTICATION CODE |
|---|
| Authentication code |
lccopycat |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
Q325.5 |
| Item number |
.S65 2018 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Smith, Jeff, |
| Dates associated with a name |
1982- |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Machine learning systems : |
| Remainder of title |
designs that scale / |
| Statement of responsibility, etc. |
Jeff Smith ; foreword by Sean Owen. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Shelter Island, New York : |
| Name of producer, publisher, distributor, manufacturer |
Manning Publications Co., |
| Date of production, publication, distribution, manufacture, or copyright notice |
2018 |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Date of production, publication, distribution, manufacture, or copyright notice |
©2018 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xxii, 200 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
24 cm |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
text |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
computer |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
online resource |
| Source |
rdacarrier |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Includes index. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Fundamentals of reactive machine learning -- Building a reactive machine learning system -- Operating a machine learning system. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Machine Learning Systems: Designs that scale is an example-rich guide that teaches you how to implement reactive design solutions in your machine learning systems to make them as reliable as a well-built web app. About the Technology If you're building machine learning models to be used on a small scale, you don't need this book. But if you're a developer building a production-grade ML application that needs quick response times, reliability, and good user experience, this is the book for you. It collects principles and practices of machine learning systems that are dramatically easier to run and maintain, and that are reliably better for users. About the Book Machine Learning Systems: Designs that scale teaches you to design and implement production-ready ML systems. You'll learn the principles of reactive design as you build pipelines with Spark, create highly scalable services with Akka, and use powerful machine learning libraries like MLib on massive datasets. The examples use the Scala language, but the same ideas and tools work in Java, as well. What's inside Working with Spark, MLlib, and Akka Reactive design patterns Monitoring and maintaining a large-scale system Futures, actors, and supervision About the Reader Readers need intermediate skills in Java or Scala. No prior machine learning experience is assumed. About the Author Jeff Smith builds powerful machine learning systems. For the past decade, he has been working on building data science applications, teams, and companies as part of various teams in New York, San Francisco, and Hong Kong. He blogs (https://medium.com/@jeffksmithjr), tweets (@jeffksmithjr), and speaks (www.jeffsmith.tech/speaking) about various aspects of building real-world machine learning systems. |
| 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 |
Scala (Computer program language) |
| 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 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Scala (Computer program language) |
| Source of heading or term |
fast |
| Authority record control number or standard number |
(OCoLC)fst01763491 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Owen, Sean, |
| Relator term |
writer of foreword. |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="https://drive.google.com/file/d/1X5OrKpCoNi6dqSsUt8qQbz1K5t2-9En5/view?usp=sharing">https://drive.google.com/file/d/1X5OrKpCoNi6dqSsUt8qQbz1K5t2-9En5/view?usp=sharing</a> |
