Bibliography

Bibliography

Geron19

Aurélien Géron. Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow: Concepts, tools, and techniques to build intelligent systems. O'Reilly Media, 2019. ISBN 1492032611.

KJ19

Max Kuhn and Kjell Johnson. Feature engineering and selection: A practical approach for predictive models. CRC Press, 2019. URL: http://www.feat.engineering/.

KS21

Max Kuhn and Julia Silge. Tidy Modeling with R. Online book, 2021. URL: https://www.tmwr.org/.

WG16

Hadley Wickham and Garrett Grolemund. R for data science: import, tidy, transform, visualize, and model data. O'Reilly Media, Inc., 2016. URL: https://r4ds.had.co.nz.

Wol96

David H. Wolpert. The Lack of A Priori Distinctions Between Learning Algorithms. Neural Computation, 8(7):1341–1390, October 1996. URL: https://doi.org/10.1162/neco.1996.8.7.1341, doi:10.1162/neco.1996.8.7.1341.