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Notes

Sprint 0.5

Readings

Chapter 1,2 Sayama

Session Questions and answers

Q&A cryptpad

Goals

  • Recap last week
  • Describe what is a model
  • What are the limits of a model
  • Create a model from observation

Topic Discussion Suggestions

  • What do we want to get out of the group?
  • Setup for python environment
  • Jupyter notebook intro
  • Cadcad intro installation

Practice (Group Exercise)

Looking at the growth of the NFT market how would we go about creating a very simple model to describe this market. [snapshot] as describe here and [snapshot] as describe here

Let's compare our models in terms of simplicity, validity and robustness.

Async Learning (Bonus)

  • Looking at these charts . Do our models make sense in the long run. If you're curious, have a look at the actual process behind the gas price, did our model capture alot of the factors at play? What'd we miss?

Next Week

Next week we will be talking w/ expert about extracting information from observations. Jump ahead here