References
Horst, Allison Marie, Alison Presmanes Hill, and Kristen B Gorman. 2020.
“Palmerpenguins: Palmer Archipelago (Antarctica) Penguin
Data.” https://doi.org/10.5281/zenodo.3960218.
Institute, QLB Brain. 2017. “Stunning Neuroscience Images.”
https://qbi.uq.edu.au/blog/2017/07/stunning-neuroscience-images.
James, Gareth, Daniela Witten, Trevor Hastie, and Rob Tibshirani. n.d.
Introduction to Statistical Machine Learning with r. 2nd ed.
Springer. https://hastie.su.domains/ISLR2/ISLRv2_website.pdf.
Kalinowski, Tomasz et al. 2022. “TensorFlow for
R.” https://tensorflow.rstudio.com/.
Kalinowski, Tomasz, JJ Allaire, and François Chollet. 2025.
“Keras3: R Interface to Keras.”
https://keras3.posit.co/.
Kanwal, Maxinder S., Avinash S. Ramesh, and Lauren A. Huang. 2013.
“A Novel Pseudoderivative-Based Mutation Operator for Real-Coded
Adaptive Genetic Algorithms.” F1000Research. https://doi.org/10.12688/f1000research.2-139.v2.
Neuroscientifically Challenged. 2014. “2-Minute
Neuroscience: The Neuron.” https://www.youtube.com/watch?v=6qS83wD29PY.
R Core Team. 2022. “R: A Language and Environment for Statistical
Computing.” https://www.R-project.org/.
Rashida048. 2020. “Machine Learning: Gradient
Descent Concept – Regenerative.” https://regenerativetoday.com/machine-learning-gradient-descent-concept/.
Soetaert, Karline. 2021. “plot3D: Plotting Multi-Dimensional
Data.” https://CRAN.R-project.org/package=plot3D.
“Student’s t-Distribution.” 2022. https://en.wikipedia.org/w/index.php?title=Student%27s_t-distribution&oldid=1101937419.
Ushey, Kevin, JJ Allaire, and Yuan Tang. 2023. “Reticulate:
R Interface to Python.” https://rstudio.github.io/reticulate/.
Wickham, Hadley, Mara Averick, Jennifer Bryan, Winston Chang, Lucy
D’Agostino McGowan, Romain François, Garrett Grolemund, et al. 2019.
“Welcome to the Tidyverse” 4:
1686. https://doi.org/10.21105/joss.01686.