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Artificial Intelligence for IoT Cookbook

Artificial Intelligence for IoT Cookbook

By : Roshak
4.9 (10)
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Artificial Intelligence for IoT Cookbook

Artificial Intelligence for IoT Cookbook

4.9 (10)
By: 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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How to do it...

The steps for this recipe are as follows:

  1. Add your Wi-Fi connection string. Change the strings on lines 10 and 11 of the iot_configs.h file:
#define IOT_CONFIG_WIFI_SSID "IoT_Net"
#define IOT_CONFIG_WIFI_PASSWORD "password1234"
  1. Get a device connection string from Azure IoT Hub and insert it on line 19 of iot_configs.h:
#define DEVICE_CONNECTION_STRING "HostName=myhub.azure-devices.net;DeviceId=somerandomname;SharedAccessKey=TWnLEcXf/sxZoacZry0akx7knPOa2gSojrkZ7oyafx0="
  1. With your ESP32 attached to your computer via a USB, click on the PlatformIO icon in the left panel and then click on Upload and Monitor:

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