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In Quick Guide to Data Science: Linear Algebra Made Simple, you will learn, in a practical, clear, and accessible way, the mathematical foundations that underpin fields such as Data Science, Machine Learning, Deep Learning, Computer Vision, and Artificial Intelligence, understanding how vectors, matrices, the dot product, linear transformations, and linear systems help represent, organize, and transform data in the real world. Ideal for beginners, students, analysts, managers, professionals in career transition, and readers who want to understand the mathematics behind the models without excessive formalism, this book follows the 10 minutes a day philosophy to turn a topic often seen as difficult into an objective, instructive journey connected to practical applications in technology, business, and data analysis.
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