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

This book presents the fundamental theoretical notions of supervised machine learning along with a wide range of applications using Python, R, and Stata. It provides a balance between theory and applications and fosters an understanding and awareness of the availability of machine learning methods o...

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Détails bibliographiques

Auteur principal:	Cerulli, Giovanni (Auteur)
Collectivité auteur:	SpringerLink (Online service)
Format:	Électronique eBook
Langue:	anglais
Publié:	Cham : Springer International Publishing : Imprint: Springer, 2023.
Édition:	1st ed. 2023.
Collection:	Statistics and Computing,
Sujets:	Machine learning. Statistics > Computer programs. Statistics . Biometry. Social sciences > Statistical methods. Statistical Learning. Machine Learning. Statistical Software. Statistics in Business, Management, Economics, Finance, Insurance. Biostatistics. Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.
Accès en ligne:	https://doi.org/10.1007/978-3-031-41337-7
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