About the Book: This undergraduate text by Henk Tijms emphasizes probabilistic and computational thinking for computer and data science, focusing on practical applications rather than formal proofs. It covers Bayesian probability, logistic regression, naïve Bayes, Monte Carlo methods, and Markov chains. Numerous worked examples, problems, and solutions guide students in applying probability to real-world scenarios.