This set of lecture notes, written for those who are unfamiliar
with mathematics and programming, introduces the reader to
important concepts in the field of machine learning. It consists of
three parts. The first is an overview of the history of artificial
intelligence, machine learning, and data science, and also includes
case studies of well-known AI systems. The second is a step-by-step
introduction to Azure Machine Learning, with examples provided. The
third is an explanation of the techniques and methods used in data
visualization with R, which can be used to communicate the results
collected by the AI systems when they are analyzed statistically.
Practice questions are provided throughout the book.
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