Tools used in this book

For the implementation of IoT-based services, we need to follow a bottom-up approach. For each IoT vertical, we need to find the analytics and the data and, finally, implement it in code. 

Due to its availability in almost all AI and IoT platforms, Python will be used for coding in this book. Along with Python, some helping libraries such as NumPy, pandas, SciPy, Keras, and TensorFlow will be used to perform AI/ML analytics on the data. For visualization, we will be using Matplotlib and Seaborn.