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The book trains readers to break down various ML applications and methods in terms of data, model, and loss, thus helping them to choose from the vast range of ready-made ML methods. The book's three-component approach to ML provides uniform coverage of a wide range of concepts and techniques.
This book introduces readers to an evolutionary learning approach, specifically genetic programming (GP), for production scheduling. In Part I, it provides an introduction to production scheduling, existing solution methods, and the GP approach to production scheduling.
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