Fundamentals of Supervised Machine Learning : With Applications in Python, R, and Stata / Giovanni Cerulli

• Autore: Cerulli, Giovanni
• Pubblicazione: Cham, : Springer, 2023
• Descrizione fisica: xxiv, 391 p. : ill. ; 24 cm
• Soggetto topico: 62-XX - Statistics [MSC 2020]; 68-XX - Computer science [MSC 2020]; 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020]; 68T07 - Artificial neural networks and deep learning [MSC 2020]
• Soggetto non controllato: Artificial Neural Networks; Classification; Deep Learning; Discriminant Analysis; Machine Learnig Applications in Medicine and Epidemiology; Machine Learning Applications in the Social Sciences; Machine learning; Model selection; Nearest Neighbors; Nonparametric Fitting; Ontology of Machine Learning; Python; R software; Regularization; Sentiment analysis; Statistical learning; Statistics; Supervised machine learning; Support Vector Machines; Trees
• Titolo autorizzato: Fundamentals of Supervised Machine Learning
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN00278813
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: https://doi.org/10.1007/978-3-031-41337-7
• Serie: Statistics and computing Berlin [etc.] . -Springer , 1993-