Artificial Intelligence for IoT Cookbook

Implement machine learning and deep learning techniques to perform predictive analytics on real-time IoT data

Key Features

• Discover quick solutions to common problems that you’ll face while building smart IoT applications
• Implement advanced techniques such as computer vision, NLP, and embedded machine learning
• Build, maintain, and deploy machine learning systems to extract key insights from IoT data

Book Description

What you will learn

• Explore various AI techniques to build smart IoT solutions from scratch
• Use machine learning and deep learning techniques to build smart voice recognition and facial detection systems
• Gain insights into IoT data using algorithms and implement them in projects
• Perform anomaly detection for time series data and other types of IoT data
• Implement embedded systems learning techniques for machine learning on small devices
• Apply pre-trained machine learning models to an edge device
• Deploy machine learning models to web apps and mobile using TensorFlow.js and Java

Who this book is for

If you’re an IoT practitioner looking to incorporate AI techniques to build smart IoT solutions without having to trawl through a lot of AI theory, this AI IoT book is for you. Data scientists and AI developers who want to build IoT-focused AI solutions will also find this book useful. Knowledge of the Python programming language and basic IoT concepts is required to grasp the concepts covered in this artificial intelligence book more effectively.