This book is an introduction to unsupervised machine learning techniques and practices. It introduces methods of unsupervised learning for clustering, correlations and time series analysis. It analyses models and provides guidance on how to use them.
This book is about methods and ways to understand AI and data modeling and how to utilize the different ways of interpreting machine learning models. It gives the basis and then dives into the different types of models and methods you can use. It separates the models into specific to models or model families, and model agnostic.
Decision Trees