$$\newcommand{\df}[1]{\frac{\partial}{\partial #1}}$$ $$\newcommand{\R}{\mathbb{R}}$$

References

[1]
U.C. Irvine ML Repository. Auto MPG Dataset.Available at http://https://archive.ics.uci.edu/ml/datasets/Auto+MPG.
[2]
U.C. Irvine ML Repository. Sentiment Labelled Sentences Data Set.Available at https://archive.ics.uci.edu/ml/datasets/Sentiment+Labelled+Sentences.
[3]
Jack Daoud. Marketing Analytics.Available at https://www.kaggle.com/datasets/jackdaoud/marketing-data.
[4]
Boser, B., Guyon, I. and Vapnik, V. A training algorithm for optimal margin classifiers. In Colt ’92: Proceedings of the fifth annual workshop on computational learning theory (D. Haussler, ed) pp 144–52. ACM.
[5]
LeCun, Y., Cortes, C. and Burges, C. The MNIST Database.Available at http://yann.lecun.com/exdb/mnist/.
[6]
Gorman, K. B., Williams, T. D. and Fraser, W. R. (2014). Ecological sexual dimorphism and environmental variability within a community of antarctic penguins (genus pygoscelis). PLoS ONE 9(3) –13.
[7]
Horst, A. Palmer penguins.Available at https://github.com/allisonhorst/palmerpenguins.
[8]
Schölkopf, B., Burges, C. and Smola, A. (1998). Advances in kernel methods: Support vector learning. MIT Press.
[9]
[10]
Bennett, K. P. and Bredensteiner, E. J. (2000). Duality and geometry in SVM classifiers. In Proceedings of the seventeenth international conference on machine learning (P. Langley, ed). Morgan Kaufmann Publishers.
[11]
Bertsekas, D. P. and Tsitsiklis, J. N. (2008). Introduction to probability. Athena Scientific.