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Practical Data Science with R by Nina Zumel and John Mountis.
Chapter 5, "Choosing and Evaluating Models"
Some business problems you might face as a data scientists are increasing look-to-buy ratios, identifying fraudulent transactions, or predicting and managing the losses of a loan portfolio. There are many different statistical modeling methods that can be used to solve any given problem and each method will have its advantages and disadvantages. Chapter 5 presents an outline of the most common machine learning and statistical methods used in data science. You