Data Scidence Presentations

Quarto

Quarto enables you to weave together content and executable code into a finished presentation. To learn more about Quarto presentations see https://quarto.org/docs/presentations/.

Bullets

When you click the Render button a document will be generated that includes:

Content authored with markdown
Output from executable code

Code

When you click the Render button a presentation will be generated that includes both content and the output of embedded code. You can embed code like this:

[1] 2

1. Slide Deck Format

Must be 5 slides max, created with RStudio Presenter (.Rpres).
Can be published to RPubs (as required by the grading rubric).
The deck should:
- Describe your prediction algorithm (n-gram + backoff, stupid backoff, or interpolation).
- Show how the Shiny app works and how users interact with it.
- Pitch the app as if to an investor or boss (i.e., why it’s useful, novel, efficient).

2. R Code in Slides

You can embed R chunks:
- To display code (eval=FALSE)
- To show output (echo=FALSE)
- To include plots (maybe a word cloud of top n-grams)
If you include heavy computation in the slides, use caching:

opts_chunk$set(cache=TRUE)

3. Two-Column Layout

Useful for showing:
- App screenshot (left) + feature list (right)
- Algorithm pseudo-code (left) + explanation (right)
- Benchmark results (left) + graph (right)

How the Model Works

left: 60% - N-gram model with Kneser-Ney smoothing - Backoff to lower-order n-grams if no match - Top 3 predictions displayed

4. Equations (if needed)

If you want to show smoothing formulas (Good-Turing, Katz backoff, etc.), use MathJax:

\[ P(w_n | w_{n-1}) = \frac{C(w_{n-1}w_n) - D}{\sum_w C(w_{n-1}w)} \]

5. Images

Add screenshots of your Shiny app (can be from shinyapps.io) using:

You can embed R-generated plots with echo=FALSE.

You can customize transitions, but the rubric focuses on content, not flashy transitions.
Use title: false if a slide is not meant to have a header.