Introduction
This is my third book on artificial intelligence (AI), and the first I wrote on my own, without the collaboration of a coauthor. The sequence in which my three books have been published reflects my own learning path, motivated by a genuine thirst to understand AI for far more than mere business considerations. The first book, published in 2020, introduced the mathematical concepts behind machine learning (ML) that make it possible to classify data and make timely predictions. The second book, which focused on the Microsoft ML.NET framework, was about concrete applications—in other words, how to make fancy algorithms work effectively on amounts of data hiding their complexity behind the charts and tables of a familiar web front end. ...
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