Hands-On Artificial Intelligence for IoT: Expert techniques for developing smarter IoT systems through Machine Learning and Deep Learning with Python

This book was inspired by my work at Oxford UniversityI have known Amita from her previous book (co-authored with Antonio Gulli) but I have not contributed to this bookBased on my experience in teaching AI for IoT, it is not an easy subject due to its vast scope.This book first covers the Principles and then lays the groundwork in terms of tools(ex keras), datasets(ex air quality) and File formats (ex JSON)The book then cover Machine Learning in depth(linear regression, Logistic regression, SVMs, Naive Bayes, Decision trees, Ensemble learning ) followed by Deep Learning(Multi layer perceptron, CNN, RNN, Autoencoders) and then covers more complex algorithms(Genetic Algorithms, Reinforcement Learning and GANs). This is followed by Distributed AI(Spark) followed by application areas (Smart homes, Smart cities and Industrial IoT)The book then combines these ideas together in the last sectionOverall, it is a comprehensive and a hand-on approachWhat could be improved? More coverage on the Cloud and the Edge technologiesWhat’s the best feature? The hands-on (coding based) approachOverall, its very much recommended

Must read book on Artificial Intelligence, machine learning and deep learning for IoT. It also cover Genetic Algorithms, Reinforcement learning and Generative Models for IoT.