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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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Autor principal: Cerulli, Giovanni (Autor)
Autor corporatiu: SpringerLink (Online service)
Format: Electrònic eBook
Idioma:anglès
Publicat: Cham : Springer International Publishing : Imprint: Springer, 2023.
Edició:1st ed. 2023.
Col·lecció:Statistics and Computing,
Matèries:
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.
Accés en línia:https://doi.org/10.1007/978-3-031-41337-7
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Taula de continguts:
  • Preface
  • The Ontology of Machine Learning
  • The Statistics of Machine Learning
  • Model Selection and Regularization
  • Discriminant Analysis, Nearest Neighbor and Support Vector Machines
  • Tree Modelling
  • Artificial Neural Networks
  • Deep Learning
  • Sentiment Analysis
  • Index. .

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