Artificial Intelligence for IoT Cookbook
Artificial intelligence (AI) is rapidly finding practical applications across all industry verticals, and IoT is one of them. Developers are looking for ways to make IoT devices smarter and to make users’ lives easier. With this book, you’ll be able to implement smart analytics using IoT data to gain insights, predict outcomes, and make informed decisions.
This AI cookbook will provide an overview of advanced AI techniques that facilitate analytics and learning in various IoT applications. Using the recipe-based approach, you’ll be taken through each process including data collection, analysis, modeling, statistics and monitoring, and deployment. You’ll use real-life datasets of smart homes, Industrial IoT, and smart devices to train and evaluate simple-to-complex models and make predictions using trained models. The book also covers the key challenges faced while implementing machine learning and deep learning and other AI techniques such as natural language processing (NLP), computer vision, and reinforcement learning for building smart IoT systems. Additionally, 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 applications and implement best practice solutions to common IoT problems.
|Course Length||2 hours 4 minutes|
|Date Of Publication||4 Sep 2020|