Building Intelligent Cloud Applications: Develop Scalable Models Using Serverless Architectures with Azure
About this ebook
You’ll learn step-by-step how to code machine learning into your projects using Python and pretrained 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 three parts with application examples woven throughout:
- 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 prebuilt machine learning and deep learning models
- Deployment and continuous delivery: Get up to speed with Azure Kubernetes Service, Azure Security Center, and Azure Monitoring
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About the author
John Biggs is an entrepreneur, consultant, writer, and maker. He spent fifteen years as an editor for Gizmodo, CrunchGear, and TechCrunch and has a deep background in hardware startups, 3D printing, and blockchain. His work has appeared in Men’s Health, Wired, and the New York Times. He runs the Technotopia podcast about a better future.He has written five books including the best book on blogging, Bloggers Boot Camp, and a book about the most expensive timepiece ever made, Marie Antoinette’s Watch. He lives in Brooklyn, New York.
