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.