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MIT Press Fundamentals of Probability and Statistics for Machine Learning

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Description

Most curricula have students take an undergraduate course on probability and statistics before turning to machine learning. In this innovative textbook, Ethem Alpaydın offers an alternative tack by integrating these subjects for a first course on learning from data. Alpaydın 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 science Emphasizes hands-on learning Covers mathematical fundamentals of probability and statistics and ML basics Suits undergraduates as well as self-learners with basic programming experience Includes slides, solutions, and code

Product Specifications

Colour
Multicolor
Format
hardcover
Domain
Amazon UK
Release Date
02 December 2025
Listed Since
13 March 2025

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