Artificial Intelligence, IOT and machine Learning : AI programs using Python A Beginners book - KING OF EXCEL

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Monday, February 15, 2021

Artificial Intelligence, IOT and machine Learning : AI programs using Python A Beginners book

 

Artificial Intelligence, IOT and machine Learning : AI programs using Python A Beginners book

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Author(s): Donepudi, Praveen

Year: 2021

Learn how to program the Internet of Things with this hands-on guide. By breaking down IoT programming complexities in step-by-step, building-block fashion, author and educator Andy King shows you how to design and build your own full stack, end-to-end IoT solution--from device to cloud. This practical book walks you through tooling, development environment setup, solution design, and implementation. 


You'll learn how a typical IoT ecosystem works, as well as how to tackle integration challenges that crop up when implementing your own IoT solution. Whether you're an engineering student learning the basics of the IoT, a tech-savvy executive with a company embarking on an IoT journey, or a programmer building your own smart house solution, this practical book will help you get started.



Python is an easy and user-friendly computer programming language which anyone can learn and Keras is an open-source deep learning framework with its backend known as Tenorflow to support deep learning applications, interestingly we’ll create our intelligent application with the help of Artificial intelligence (AI) tools and techniques moreover we will deploy our created application as a web application so that your family and friends can see the power of AI.

After completing this book, you will be able to create your deep learning applications and deploy them on webservers in commonly found problems and will have a solid intuitive background on the working of these algorithms.

Design an end-to-end solution that implements an IoT use case

Set up an IoT-centric development and testing environment

Organize your software design by creating abstractions in Python and Java

Use MQTT, CoAP, and other protocols to connect IoT devices and services

Create a custom JSON-based data format that's consumable across a range of platforms and services

Use cloud services to support your IoT ecosystem and provide business value for stakeholders

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