Preface
Unsupervised learning is an increasingly important branch of data science, the goal of which is to train models that can learn the structure of a dataset and provide the user with helpful pieces of information about new samples. In many different business sectors (such as marketing, business intelligence, strategy, and so forth), unsupervised learning has always had a primary role in helping the manager to make the best decisions, based both on qualitative and, above all, quantitative approaches. In a world where data is becoming more and more pervasive and storage costs are dropping, the possibility of analyzing real, complex datasets is helping to transform old-fashioned business models into new, more accurate, more responsive, ...
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