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probability and statistics for computer scientists 3rd edition pdf
Probability and Statistics for Computer Scientists, 3rd Edition by Michael Baron is a comprehensive textbook that introduces the principles of probability and statistics tailored for computer science students. The book covers key concepts such as probability theory, random variables, distributions, estimation, hypothesis testing, and statistical inference. It emphasizes computational methods and algorithms, making it highly relevant for those involved in data analysis, machine learning, and algorithm design. The third edition includes updated examples, exercises, and real-world applications to bridge the gap between theory and practice, ensuring that students can apply statistical techniques in computer science problems.
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