Introduction Statistical Learning Applications by James Gareth (118 results)

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First Edition. Large Octavo. 607 pages Written by four experts of the field, this book offers an excellent entry to statistical learning to a broad audience, including those without strong background in mathematics. The focus is on explanation of concepts, description of methods, application of software,and interpretation of results. A reader only needs to know the basic concepts from an algebra-based elementary probability course, such as random variables, probability distribution, expectation, variance, conditional probability, and the Bayes theory. A fine copy bound in yellowpurple, red, blue and green paper covered boards lettered in yellow, white, and black.