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This groundbreaking textbook combines straightforward explanations with a wealth of practical examples to offer an innovative approach to teaching linear algebra. Requiring no prior knowledge of the subject, it covers the aspects of linear algebra vectors, matrices, and least squares that are needed for engineering applications, discussing examples across data science, machine learning and artificial intelligence, signal and image processing, tomography, navigation, control, and finance. The numerous practical exercises throughout allow students to test their understanding and translate their knowledge into solving realworld problems, with lecture slides, additional computational exercises in Julia and MATLAB?, and data sets accompanying the book online. Suitable for both onesemester and onequarter courses, as well as selfstudy, this selfcontained text provides beginning students with the foundation they need to progress to more advanced study.
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