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Data Science on the Google Cloud Platform: Implementing End-To-End Real-Time...
by Lakshmanan, Valliappa | PB | VeryGood
US $7.00
ApproximatelyAU $10.55
Condition:
“May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend ”... Read moreabout condition
Postage:
Located in: Aurora, Illinois, United States
Delivery:
Estimated between Thu, 27 Jun and Sat, 29 Jun to 43230
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eBay item number:195539663807
Item specifics
- Condition
- Very good
- Seller notes
- 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
- 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
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
Item description from the seller
Seller assumes all responsibility for this listing.
eBay item number:195539663807
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Item location:
Aurora, Illinois, United States
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| Postage and handling | To | Service | Delivery*See delivery notes |
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| Free postage | United States | Economy Shipping | Estimated between Thu, 27 Jun and Sat, 29 Jun to 43230 |
| US $15.99 (approx. AU $24.09) | United States | Expedited Shipping | Estimated between Wed, 26 Jun and Thu, 27 Jun to 43230 |
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