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Introduction machine learning is a subfield of artificial intelligence ai the goal of machine learning generally is to understand the structure of data and fit that data into models that can be understood and utilized by people although machine learning is a field within computer science it differs from traditional computational approaches. Introduction this textbook presents fundamental machine learning concepts in an easy to understand manner by providing practical advice using straightforward examples and offering engaging discussions of relevant applications the main topics include bayesian classifiers . An introduction to machine learning last updated 13 02 2020 the term machine learning was coined by arthur samuel in 1959 an american pioneer in the field of computer gaming and artificial intelligence and stated that it gives computers the ability to learn without being explicitly programmed. I recommend this book for an introductory course in machine learning and for practitioners who are starting in machine learning it is a very enjoyable and useful read you will understand many complex machine learning books after reading this one best introduction to machine learning book i have come across i have many of them. Most machine learning ml approaches fall into culture 2 where no explicit model is specified and a computer is responsible for identifying associations in the observed data these models tend to be difficult to interpret physiologically however significant progress was made over the years in the interpretability of ml models 6 7 today many aspects of a black box model can be