Saint Mary's College, Notre Dame
- Page ID
- 3384
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- DSCI 500B Essential Probability Theory for Data Science (Kuter)
- This textbook provides a foundational overview of probability theory specifically tailored for data science students. It bridges the gap between pure mathematics and practical data analysis by guiding learners from basic concepts—like sample spaces, combinatorics, and conditional probability—to complex statistical behaviors involving multivariate random variables and joint distributions.