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)

Getting ready

To test bots locally, you will need to download and install the Bot Framework Emulator from Microsoft. Installation instructions and links to documentation can be found on the GitHub page at https://github.com/microsoft/BotFramework-Emulator.

Next, you will need to install the dependencies. For this project, we are using Python and we have a requirements file. To install the requirements, clone the GitHub repo for this book and navigate to the Ch7/SmartBot folder. Then, enter the following pip install script:

pip3 install -r requirements.txt

This will install the Bot Framework components in addition to Flask, the web server platform that our bot will use, and async.io, an asynchronous library.