Fundamentals of Probability and Statistics for Machine Learning

Condition: BRAND NEW ISBN: 9780262049818 Author(s): Ethem Alpaydin Format: Hardcover Year: 2025 Publisher: MIT Press Ltd Pages: 544

Description: An introductory textbook for undergraduate or beginning graduate students that integrates probability and statistics with their applications in machine learning.An introductory textbook for undergraduate or beginning graduate students that integrates probability and statistics with their applications in machine learning.Most curricula have students take an undergraduate course on probability and statistics before turning to machine learning. In this innovative textbook, Ethem AlpaydA„±n offers an alternative tack by integrating these subjects for a first course on learning from data. AlpaydA„±n accessibly connects machine learning to its roots in probability and statistics, starting with the basics of random experiments and probabilities and eventually moving to complex topics such as artificial neural networks. With a practical emphasis and learn-by-doing approach, this unique text offers comprehensive coverage of the elements fundamental to an empirical understanding of machine learning in a data science context.Consolidates foundational knowledge and key techniques needed for modern data scienceCovers mathematical fundamentals of probability and statistics and ML basicsEmphasizes hands-on learningSuits undergraduates as well as self-learners with basic programming experienceIncludes slides, solutions, and code

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