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Description
A First Course in Probability for Computer and Data ScienceIn this undergraduate text, the author has distilled the core of probabilistic ideas and methods for computer and data science. The book emphasizes probabilistic and computational thinking rather than theorems and proofs. It provides insights and motivates the students by telling them why probability works and how to apply it. The unique features of the book are as follows: Bayesian probability with real life cases in law and medicine; Logistic
In this undergraduate text, the author has distilled the core of probabilistic ideas and methods for computer and data science. The book emphasizes probabilistic and computational thinking rather than theorems and proofs. It provides insights and motivates the students by telling them why probability works and how to apply it.
The unique features of the book are as follows:
- Bayesian probability with real-life cases in law and medicine;
- Logistic regression and na
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