Afbeelding 1 van 1
Afbeelding 1 van 1
Data Science on the Google Cloud Platform: Implementing End-To-End Real-Time...
by Lakshmanan, Valliappa | PB | Good
US $6,35
OngeveerEUR 5,70
Objectstaat:
“Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ”... Meer lezenover objectstaat
Goed
Een boek dat is gelezen, maar zich in goede staat bevindt. De kaft is zeer minimaal beschadigd (er zijn bijvoorbeeld slijtplekken), maar er zijn geen deukjes of scheuren. De harde kaft heeft mogelijk geen stofomslag meer. De boekband vertoont minimale slijtage. De meeste bladzijden zijn onbeschadigd. Er zijn weinig vouwen en scheuren en er is vrijwel geen tekst met potlood onderstreept of met een accentueerstift gemarkeerd. Er is niet in de kantlijn geschreven. Er ontbreken geen bladzijden. Bekijk de aanbieding van de verkoper voor de volledige details en een beschrijving van gebreken.
Niet op voorraad3 verkocht
Verzendkosten:
Gratis Economy Shipping.
Bevindt zich in: Aurora, Illinois, Verenigde Staten
Levering:
Geschatte levering tussen do, 26 sep en ma, 30 sep tot 43230
Retourbeleid:
30 dagen om te retourneren. Verkoper betaalt voor retourzending.
Betalingen:
Winkel met vertrouwen
De verkoper neemt de volledige verantwoordelijkheid voor deze aanbieding.
eBay-objectnummer:374870291216
Specificaties
- Objectstaat
- Goed
- Opmerkingen van verkoper
- 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
Over dit product
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
Publication Name
Data Science on the Google Cloud Platform : Implementing End-To-End Real-Time Data Pipelines: from Ingest to Machine Learning
Language
English
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
Intended Audience
Trade
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
004.6782
Synopsis
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, 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
LC Classification Number
QA76.585
Objectbeschrijving van de verkoper
Informatie van zakelijke verkoper
Thrift Books Global, LLC
TB Thrift Books
18300 Cascade Ave S
Ste 150
98188 Seattle, WA
United States
Ik verklaar dat al mijn verkoopactiviteiten zullen voldoen aan alle wet- en regelgeving van de EU.
Ingeschreven als zakelijke verkoper
Feedback verkoper (5.352.643)
Dit object (1)
Alle objecten (5.352.643)
9***4 (2418)- Feedback gegeven door koper.
Afgelopen 6 maanden
Geverifieerde aankoop
Great seller ! Thanks a lot!
n***l (85)- Feedback gegeven door koper.
Afgelopen maand
Geverifieerde aankoop
As described. Prompt shipping. Pleasure doing business with this seller
e***y (310)- Feedback gegeven door koper.
Afgelopen maand
Geverifieerde aankoop
Book was in great condition but overpriced for pre-owned the other books I purchased with this one claim to contain CDs but they did not and was falsely advertised thriftbooks used books are priced much higher than competitors and customer service response was cut and paste!
i***n (1953)- Feedback gegeven door koper.
Afgelopen maand
Geverifieerde aankoop
GREAT