Building Intelligent Cloud Applications: Develop Scalable Models Using Serverless Architectures with Azure
Authors: John Biggs – Vicente Herrera García – Jose Luis Calvo Salanova
ISBN-10: 1492052329
ISBN-13: 9781492052326
Edition 版次: 1
Publication Date 出版日期: 2019-10-01
Print Length 页数: 154 pages
Book Description
By finelybook
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
Preface
1.Cloud-Based Development
1.Machine Learning and Deep Learning Models in the Cloud
2.Functions-as-a-Service and Event-Driven Programming
3.Serverless Application Programming Interfaces in Microsoft Azure
.Adding Intelligence
4.Getting Started with Microsoft Azure Functions
5.Using Machine Learning and Deep Learning Models
ll.Deployment and Continuous Delivery
6.Deployment and Scaling
7.Security
8.Monitoring
Index
