Building Intelligent Cloud Applications: Develop Scalable Models Using Serverless Architectures with Azure
This resource is published by IT Corporate
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.
In this guide you will learn:
- The basics of serverless computing with machine learning, functions as a service (FaaS), and the use of APIs
- How to create serverless applications using Azure Functions; learn how to use pre-built machine-learning and deep-learning models
- Deliver data at the edge, build conversational interfaces, and use convolutional neural networks for image classification
- And more!
Hardware, Server, Storage, Software, Applications, Operating Systems, SaaS, Databases, Open Source, Network, Network Security, Telecommunications, Operating System, Big Data, Business Intelligence (BI), Cloud Computing, Virtualization, Service Management, Project Management, Firewall, VPN, Network Security, Security Management, Cloud Computing, Hybrid Cloud, SaaS, Cloud Computing, Big Data, Databases, Firewall, VPN, Server, Storage, Virtualization, Cloud Computing, Linux, Processors, Email, Spam, Storage, Backups, Data Storage, RAID, SAN, Storage Systems, Telecommunications, Service Providers, Sales, Cloud Applications, Collaboration, Cloud, Analytics, Predictive Analytics, DevOps, Machine Learning, AIM, Artificial Intelligence