Trevor Hastie

Autor de The Elements of Statistical Learning: Data Mining, Inference, and Prediction

5 Obras 848 Miembros 3 Reseñas

Sobre El Autor

Incluye los nombres: T.J. Hastie, Trevor Hastie

Obras de Trevor Hastie

Popular Reciente

The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2003) 541 copias

An Introduction to Statistical Learning: with Applications in R (2013) 265 copias

Generalized Additive Models (1990) 22 copias

Statistical Learning with Sparsity: The Lasso and Generalizations (Chapman & Hall/CRC Monographs on Statistics and… (1800) 19 copias

Computer Age Statistical Inference: Algorithms, Evidence, and Data Science (Institute of Mathematical Statistics… 1 copia

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Nombre canónico: Hastie, Trevor
Género: male

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An Introduction to Statistical Learning: with… por Gareth James

I was lucky to attend a MOOC course delivered by the authors of this book- Trevor Hastie and Robert Tibshirani, which was offered by Stanford University. The book presents a balanced amount of theory and practice of the Statistical (Machine) Learning topic with not-in-depth emphasis on mathematical details. It provides the right amount of know-how for those interested to start working in the Data Science field and in Machine Learning, in specific.

Unlike many other references the book has an edge, especially for Data Scientists using R, of putting every chapter’s concept into R practice through the end-of-chapter R Labs. It is an excellent practical guide to implement Machine Learning especially that it explains the pros and cons of many algorithms used in addition to the emphasis on data processing and cleaning before doing Learning.

The book is a must-read for any one embarking on the journey of Data Science as a profession.… (más)

Denunciada

Mohammedkb | otra reseña | Mar 15, 2016 |