Book Image

Artificial Intelligence for IoT Cookbook

By : Michael Roshak
Book Image

Artificial Intelligence for IoT Cookbook

By: Michael Roshak

Overview of this book

Artificial intelligence (AI) is rapidly finding practical applications across a wide variety of industry verticals, and the Internet of Things (IoT) is one of them. Developers are looking for ways to make IoT devices smarter and to make users’ lives easier. With this AI cookbook, you’ll be able to implement smart analytics using IoT data to gain insights, predict outcomes, and make informed decisions, along with covering advanced AI techniques that facilitate analytics and learning in various IoT applications. Using a recipe-based approach, the book will take you through essential processes such as data collection, data analysis, modeling, statistics and monitoring, and deployment. You’ll use real-life datasets from smart homes, industrial IoT, and smart devices to train and evaluate simple to complex models and make predictions using trained models. Later chapters will take you through the key challenges faced while implementing machine learning, deep learning, and other AI techniques, such as natural language processing (NLP), computer vision, and embedded machine learning for building smart IoT systems. In addition to this, you’ll learn how to deploy models and improve their performance with ease. By the end of this book, you’ll be able to package and deploy end-to-end AI apps and apply best practice solutions to common IoT problems.
Table of Contents (11 chapters)

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Modern cloud-based web applications such as Azure Web Apps can automatically pull new Docker images into production. There is also a great deal of DevOps tools that can pull images and run them through various tests before deploying them with Docker container instances or docker orchestration tools such as Kubernetes. But for them to do this one must first put them into a container registry such as Azure Container Registry or Docker Hub. To do this we will need to do a few steps. First, we will build our container. Next, we can run our container to ensure that it works. Then we log into our container registry service and push the container to it. The detailed steps are as follows:

  1. First, we build the container. To do it we navigate to the folder with the docker file and run docker build. We are going to tag it with the -t command to ch4.  We then specify that the docker file is in the local folder with the period .
docker build -t ch4 .
  1. Now that we...