NG data club

Author

Schluppeck / van Rossum

Session date:

November 23, 2022

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?)

Lots of potential topics

  • 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?

Notes from first meeting

  • Time slot, lunchtime, 12:00-12:45 seems good
  • Room, TBC (depending on availability)
  • General mix of sessions that address “questions” and “available tools/techniques” sounded good to people
  • There were lots of good suggestions for what to cover

Suggested Topics

  • Missing data
  • Visualization
  • code/data sharing
  • Stat tests
  • Linear regression (MvR)
  • Bugs
  • Code style guide (MvR)
  • Software tools
  • Pandas
  • Bring You Own Problem (BYOP)
  • DAGs / directed ayclic graphs
  • inferring causality from non-experimental data (e.g., selection models, instrumental variables, difference-in-difference)

Initial Schedule

  1. 2022-11-30: Tomas: julia and code sharing

  2. 2022-12-07: Helen, Bring your own problem, BYOP (data visualisation)

  3. 2022-12-14: Hazem, thinking about, choosing appropriate statistical tests

Future

  • Roni & MvR: Hidden Markov Models

  • Denis & Jan: mixing code and writing; documents, webpages, presentations

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