# (APPENDIX) Appendix {-} 

# The Backlog

```{r setup, include = FALSE}
knitr::opts_chunk$set(echo = TRUE, fig.align = "center", cache = TRUE, autodep = TRUE)
```

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The backlog will contain a list of topics of discussion that have arisen during the semester that we will return to if there is time.

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## Sorted

Why are we so darn focused on **means**?

  - <https://www.benkuhn.net/squared>
  - <https://news.ycombinator.com/item?id=9556459>

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## Unsorted

- https://atrebas.github.io/post/2019-01-15-2018-learning/
- Don't load previous worksapce. (Screenshot of this option in RStudio.)
- How do we make prediction **intervals**?
- What is **quantile regression**?
- How do we detect and deal with **outliers**?
  - In response versus features?
  - At train time versus test time?
- Factor versus numeric features for random forests.
- Scaling features in various models, especially KNN.
- Generalized linear models. (Chapter. Use for graduate students?)

## Source

- `R` Markdown: [`backlog.Rmd`](backlog.Rmd)

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