Statistcal learning

Deep learning

Autoencoder

• Four types, https://github.com/nathanhubens/Autoencoders.
• The notMNIST dataset, https://www.datacamp.com/community/tutorials/autoencoder-keras-tutorial.
• Credit fraud example, https://blogs.rstudio.com/tensorflow/posts/2018-01-24-keras-fraud-autoencoder/.
• PCA vs autoencoder

Machine learning

(as it is called in computer science literature)

• Apress, https://github.com/apress
• Packt, https://github.com/PacktPublishing

Statistical learning and ISLR

Hastie T, Tibshirani R, Friedman J (2009). The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer.

James G, Witten D, Hastie T, Tibshirani R (2013). An Introduction to Statistical Learning with Applications in R. Springer.

James G, Witten D, Hastie T, Tibshirani R (2021). An Introduction to Statistical Learning with Applications in R, 2e, Springer.

Chollet F, Allaire JJ (2017). Deep Learning with R, Manning. Source code, GitHub.