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Computer, electrical, and telecommunications engineers along with physicists, mathematicians, and other contributors approach intelligent data analysis from a practical perspective, focusing on solving real-world problems in the life sciences. They show scientists and engineers who are carrying out research in very complex, non-linear areas such as medicine, genetics, and biology how to process vast amounts of data into useful information. The text could also support an advanced course preparing students for such tasks. A prior knowledge of statistics, discrete mathematics, and machine learning is desirable, but not absolutely necessary. Annotation c2012 Book News, Inc., Portland, OR (booknews.com)
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