MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02965cam a22003495i 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
21100172 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20200130191059.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
190724s2018 caua 001 0 eng d |
| 015 ## - NATIONAL BIBLIOGRAPHY NUMBER |
|---|
| National bibliography number |
GBB7B3690 |
| Source |
bnb |
| 016 7# - NATIONAL BIBLIOGRAPHIC AGENCY CONTROL NUMBER |
|---|
| Record control number |
018408167 |
| Source |
Uk |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9789352136766 |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
(OCoLC)ocn966394369 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
YDX |
| Language of cataloging |
eng |
| Transcribing agency |
YDX |
| Description conventions |
rda |
| Modifying agency |
BDX |
| -- |
BTCTA |
| -- |
GK8 |
| -- |
SFR |
| -- |
CLE |
| -- |
NYP |
| -- |
SINLB |
| -- |
OCLCF |
| -- |
WRF |
| -- |
EQO |
| -- |
HCO |
| -- |
UKMGB |
| -- |
DLC |
| 042 ## - AUTHENTICATION CODE |
|---|
| Authentication code |
lccopycat |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
004.33 LAK |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Lakshmanan, Valliappa, |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Data science on the Google cloud platform : |
| Remainder of title |
implementing end-to-end real-time data pipelines : from ingest to machine learning / |
| Statement of responsibility, etc. |
Valliappa Lakshmanan. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Sebastopol, CA : Mumbai |
| Name of producer, publisher, distributor, manufacturer |
O'Reilly Media, SPD |
| Date of production, publication, distribution, manufacture, or copyright notice |
2018. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xiv, 391 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
23 cm |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Rs.1025/-<br/>TB 1989/4<br/><br/>Includes index. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Making better decisions based on data -- Ingesting data into the cloud -- Creating compelling dashboards -- Streaming data: publication and ingest -- Interactive data exploration -- Bayes classifier on cloud dataproc -- Machine learning: logistic regression on Spark -- Time-windowed aggregate features -- Machine learning classifier using TensorFlow -- Real-time machine learning. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build on top of the Google Cloud Platform (GCP). This hands-on guide shows developers entering the data science field how to implement an end-to-end data pipeline, using statistical and machine learning methods and tools on GCP. Over the course of the book, you'll work through a sample business decision by employing a variety of data science approaches. Follow along by implementing these statistical and machine learning solutions in your own project on GCP, and discover how this platform provides a transformative and more collaborative way of doing data science. You'll learn how to: automate and schedule data ingest using an App Engine application, create and populate a dashboard in Google Data Studio, build a real-time analysis pipeline to carry out streaming analytics, conduct interactive data exploration with Google BigQuery, create a Bayesian model on a Cloud Dataproc cluster, build a logistic regression machine learning model with Spark, compute time-aggregate features with a Cloud Dataflow pipeline, create a high-performing prediction model with TensorFlow, use your deployed model as a microservice you can access from both batch and real-time pipelines.-- |
| Assigning source |
Source other than the Library of Congress. |
| 610 20 - SUBJECT ADDED ENTRY--CORPORATE NAME |
|---|
| Corporate name or jurisdiction name as entry element |
Google (Firm) |
| 610 27 - SUBJECT ADDED ENTRY--CORPORATE NAME |
|---|
| Corporate name or jurisdiction name as entry element |
Google (Firm) |
| Source of heading or term |
fast |
| Authority record control number or standard number |
(OCoLC)fst00759798 |
| 630 00 - SUBJECT ADDED ENTRY--UNIFORM TITLE |
|---|
| Uniform title |
Google Apps. |
| 630 07 - SUBJECT ADDED ENTRY--UNIFORM TITLE |
|---|
| Uniform title |
Google Apps. |
| Source of heading or term |
fast |
| Authority record control number or standard number |
(OCoLC)fst01783175 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Real-time data processing. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Cloud computing. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Computing platforms. |
| 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 |
Dewey Decimal Classification |
| Koha item type |
Books |
