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Discover the mathematical foundations behind data-driven insights. From linear algebra to probability, this book bridges theory with practice in modern data science.
A concise, insightful guide that explains the essential mathematics needed for data science, including calculus, statistics, and matrix theory—ideal for learners transitioning into this field.
Discover the mathematical foundations behind data-driven insights. From linear algebra to probability, this book bridges theory with practice in modern data science.
A concise, insightful guide that explains the essential mathematics needed for data science, including calculus, statistics, and matrix theory—ideal for learners transitioning into this field.
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