Treffer: Hands-On Artificial Intelligence for IoT

Build smarter systems by combining artificial intelligence and the Internet of Things—two of the most talked about topics today

Key Features

Leverage the power of Python libraries such as TensorFlow and Keras to work with real-time IoT data</li> Process IoT data and predict outcomes in real time to build smart IoT models</li> Cover practical case studies on industrial IoT, smart cities, and home automation</li></ul>

Book Description

There are many applications that use data science and analytics to gain insights from terabytes of data. These apps, however, do not address the challenge of continually discovering patterns for IoT data. In Hands-On Artificial Intelligence for IoT, we cover various aspects of artificial intelligence (AI) and its implementation to make your IoT solutions smarter.This book starts by covering the process of gathering and preprocessing IoT data gathered from distributed sources. You will learn different AI techniques such as machine learning, deep learning, reinforcement learning, and natural language processing to build smart IoT systems. You will also leverage the power of AI to handle real-time data coming from wearable devices. As you progress through the book, techniques for building models that work with different kinds of data generated and consumed by IoT devices such as time series, images, and audio will be covered. Useful case studies on four major application areas of IoT solutions are a