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Targeted at data science students, this textbook covers probability and statistics through a calculus-based approach suitable for junior, senior, and graduate levels. It integrates foundational concepts from matrix algebra and basic programming skills, making it ideal for those in computer science. The content is structured to facilitate understanding of statistical methods in data analysis, catering to the needs of students preparing for advanced applications in their fields.
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Probability and Statistics for Data Science, Norman Matloff
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- 2019
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