An Introduction to Statistical Learning: with Applications in Python (Springer Texts in Statistics) 1st ed. 2023 Edition by Gareth James (Author), Daniela Witten (Author), Trevor Hastie (Author), Robert Tibshirani (Author), Jonathan Taylor (Author)Requirements: .PDF reader, 12 MB | True PDFOverview: An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, […]
An Introduction To Statistical Learning With Applications In R (2nd Ed) by Gareth James & Daniela Witten & Trevor Hastie & Robert TibshiraniRequirements: .PDF reader, 11.9 MBOverview: An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets […]
An Introduction to Statistical Learning: with Applications in R by Gareth James, Daniela Witten, Trevor Hastie, Robert TibshiraniRequirements: .PDF reader, 7.1 MbOverview: An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields […]
Introduction to Statistical Relational Learning by Lise Getoor, Ben TaskarRequirements: .PDF reader, 5,7 MBOverview: Advanced statistical modeling and knowledge representation techniques for a newly emerging area of machine learning and probabilistic reasoning; includes introductory material, tutorials for different proposed approaches, and applications. Handling inherent uncertainty and exploiting compositional structure are fundamental to understanding and designing […]