The book, “Fundamentals of Machine Learning and Its Applications”, has been modelled in such a manner that it gives a clear and complete picture of the fundamental principles, methods as well as practical uses of machine learning. In the modern dynamic technology world, machine learning has become one of the major aspects of Artificial Intelligence as it allows systems to learn through data and make smart decisions with no particular programming.
The goal of this book is to introduce machine learning in an easy, systematic, and comprehensible way to the students. It starts with the basic concepts of data, features, and learning paradigms and moves on to more complex issues of model development, evaluation, and deployment. Particular attention has been paid to the explanation of such concepts as supervised and unsupervised learning, feature engineering, and performance measures in a simple manner.
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