2022-11-23-first-meeting.qmd

---
title: "NG data club"
author: "Schluppeck / van Rossum"
date: "2022-11-23"
format:
  revealjs:
    embed-resources: true
    chalkboard: false
    code-line-numbers: false
self-contained: true
---
## Where, when?

Meeting time + place

- Wednesday, 12:00-12:45, weekly
- a seminar room like this here? (or somewhere else?)

## What

Could structure things according to

1. *I want to answer the following question with my data... How do I do that?* 

2. *I know the following technique, which could help you with [bla]...*

3. Other format?

## What 2

- Want to share knowledge of *principles* / intuition / maths background
- ... but also practical advice:
  + tools 
  + code snippets (multi-lingual?)

## Padlet link + Team + resources

- https://padlet.com/denisschluppeck/ng_data_club
- MS Team (for chat / ad-hoc questions)
- github repo, gists (for sharing code )

 
## Lots of potential topics {.scrollable}

- PCA, ICA, related methods
- linear regression, basics of linear algebra?
- "dimensionality reduction"
- t-SNE
- basic ideas behind solving inverse problems
- how do people organise data, meta-data
- "Tidy Data" / tidyverse and related ideas (in `r`), Pandas (`python`), Tables (`matlab`). Long and wide data? `select`, `filter`, `mutate`, `summarise` (`dplyr`/`sql` syntax) 
- logistic regression
- intro to bayesian stats/estimation?
- more machine learning stuff (`svm`, intro to deep learning models)
- RL?