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This textbook presents probability and statistics from a machine learning perspective, covering fundamental concepts, probabilistic models, statistical methods, regression, classification, unsupervised learning, Markov processes, and probabilistic inequalities. It combines mathematical foundations with applications to machine learning and includes worked examples and exercises.

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245: $a: Probability and Statistics for Machine Learning: A Textbook
245: $b:
082: $a:
100: $a: Charu C. Aggarwal
650: $a: Mathematics
250: $a: 1st
440: $v:
250: $b: Springer Nature Switzerland AG
250: $c: 2025
020: $a: 978-3-031-53281-8
300: $a: 530