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Building Intelligent Cloud Applications: Develop Scalable Models Using Serverless Architectures with Azure

MRP: Rs.550.00
Price in points: 550 points
9789352139019
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Minimum quantity for "Building Intelligent Cloud Applications: Develop Scalable Models Using Serverless Architectures with Azure" is 1.

All Indian Reprints of O'Reilly are printed in Grayscale

Serverless computing is radically changing the way we build and deploy applications. With cloud providers running servers and managing machine resources, companies now can focus solely on the application’s business logic and functionality. This hands-on book shows experienced programmers how to build and deploy scalable machine learning and deep learning models using serverless architectures with Microsoft Azure.You’ll learn step-by-step how to code machine learning into your projects using Python and pre-trained models that include tools such as image recognition, speech recognition, and classification. You’ll also examine issues around deployment and continuous delivery including scaling, security, and monitoring.

This book is divided into four parts:

  • • Cloud-based development: learn the basics of serverless computing with machine learning, functions as a service (FaaS), and the use of APIs
  • • Adding intelligence: create serverless applications using Azure Functions; learn how to use pre-built machine-learning and deep-learning models
  • • Deployment and continuous delivery: get up to speed with Azure Kubernetes Service, as well as Azure Security Center, and Azure Monitoring
  • • Application examples: deliver data at the edge, build conversational interfaces, and use convolutional neural networks for image classification

Books

Author:
Vicente Herrera García
Author 2:
John Biggs
Author 3:
Jose Salanova
Binding:
Paperback
Condition Type:
New
Country Origin:
India
Edition:
First
Gift Wrap:
N
Leadtime to ship in days (default):
Usually ships in 1-2 days
Leadtime to ship in days(if not in stock):
Usually ships in 12-15 days
Pages:
156
Publisher:
Shroff/O'Reilly
Year:
2019

Dimensions

Dimensions (W x H x D):
7 x 9 x .3 inch

Table of Contents (9789352139019_toc.pdf, 171 Kb) [Download]