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

In the cloud marketplace, spin up Confluent and Databricks. This will give you a Kafka and Spark system that is elastically scalable. Once you've spinned up these systems, go to the Confluent website at https://confluent.cloud and enter the username and password you set up in the cloud marketplace. Then, click on Create cluster. Follow the wizard to create your first cluster. Once you are in your cluster, click on API access in the menu. Then, find the Create key button that will allow you to create an API access key:

Once you've created a key, jot down its username and password; you will need these details later.

Next, go to the Topics section and, using the Create topic button, create two topics: one called Turbofan and another called Turbofan_RUL. Next, we will create a Python file so that we can test our new topic. Create a Python file with the following code to produce a message for the TurboFan topic:

from confluent_kafka import Producer
from...