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Over the past several decades machine learning has become a rather central, albeit mostly hidden part of our lives. With exponentially increasing amounts of data becoming available there is good reason to believe that smart data analysis and artificial intelligence (AI) tools will become even more pervasive as a necessary ingredient for technological progress. This book is intended for the uninitiated to help you understand what all the talk about ‘this machine learning thing’ is and to help you understand some of the more advanced concepts you might hear in context to the subject. After we cover these basics, we will discuss some basic tools from statistics and probability theory, since they form the language in which many machines are able to become amenable to solving problems. Finally, we will outline a set of fairly basic yet effective algorithms to solve an important problem, namely that of classification. More sophisticated tools, a discussion of more general problems, case studies with summary analysis will follow in the later parts of the book. At the end of the book, we have organized a detailed glossary of terms applicable to machine learning and related topics such as artificial intelligence you can reference going forward or utilize to dive deeper on the subject.