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Data Science on the Google Cloud Platform: Implementing End-To-End Real-Time...

by Lakshmanan, Valliappa | PB | Good
ThriftBooks
  • (3609664)
US $6.44
ApproximatelyAU $9.70
Condition:
Good
“Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ”... Read moreabout condition
Out of stock3 sold
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eBay item number:374870291216
Last updated on 19 Jun, 2024 10:55:41 AESTView all revisionsView all revisions

Item specifics

Condition
Good
A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages. See the seller’s listing for full details and description of any imperfections. See all condition definitionsopens in a new window or tab
Seller notes
“Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ...
Binding
Paperback
Weight
1 lbs
Product Group
Book
IsTextBook
No
ISBN
1491974567
Subject Area
Computers
Publication Name
Data Science on the Google Cloud Platform : Implementing End-To-End Real-Time Data Pipelines: from Ingest to Machine Learning
Publisher
O'reilly Media, Incorporated
Item Length
9.2 in
Subject
Systems Architecture / Distributed Systems & Computing, Data Modeling & Design, Data Processing, Databases / General
Publication Year
2018
Type
Textbook
Format
Trade Paperback
Language
English
Item Height
0.8 in
Author
Valliappa Lakshmanan
Item Weight
24.1 Oz
Item Width
7 in
Number of Pages
402 Pages

About this product

Product Information

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. Through 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

Product Identifiers

Publisher
O'reilly Media, Incorporated
ISBN-10
1491974567
ISBN-13
9781491974568
eBay Product ID (ePID)
235117281

Product Key Features

Number of Pages
402 Pages
Language
English
Publication Name
Data Science on the Google Cloud Platform : Implementing End-To-End Real-Time Data Pipelines: from Ingest to Machine Learning
Publication Year
2018
Subject
Systems Architecture / Distributed Systems & Computing, Data Modeling & Design, Data Processing, Databases / General
Type
Textbook
Subject Area
Computers
Author
Valliappa Lakshmanan
Format
Trade Paperback

Dimensions

Item Height
0.8 in
Item Weight
24.1 Oz
Item Length
9.2 in
Item Width
7 in

Additional Product Features

Dewey Edition
23
Target Audience
Trade
Illustrated
Yes
Dewey Decimal
004.6782
Lc Classification Number
Qa76.585
Copyright Date
2017

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