Developed from renowned Harvard statistics lectures, Introduction to Probability equips readers with the essential language, concepts, and tools needed to understand statistics, randomness, and uncertainty. This book presents probability theory in a clear and intuitive manner, making complex ideas accessible to learners from diverse academic backgrounds.
Through engaging examples and real-world applications, the text explores topics ranging from coincidences and probability paradoxes to modern concepts such as Google PageRank and Markov chain Monte Carlo (MCMC). It also demonstrates how probability is applied across fields including genetics, medicine, computer science, and information theory, helping readers connect theory with practical problem-solving.
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