Fundamentals of Probability and Statistics for 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 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.

Détails du produit

• Auteurs: Ethem Alpaydin, Alpaydin Ethem
• Edition: The MIT Press
• Langues: Anglais
• Format d'édition: Livre Relié
• Sortie: 02.12.2025
• EAN: 9780262049818
• ISBN: 978-0-262-04981-8
• Pages: 544
• Catégories: machine learning, MATHEMATICS / Probability & Statistics / General, Probability & statistics, Probability and statistics, COMPUTERS / Data Science / Machine Learning, COMPUTERS / Data Science / Neural Networks, Neural networks and fuzzy systems, Neural networks & fuzzy systems