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R for Data Science by Dan Toomey

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Questions

Factual

  • Which supervised learning technique(s) do you lean towards as your "go to" solution?
  • Why are the density plots for Bayesian results off-center?

When, how, and why?

  • How would you decide on the number of clusters to use?
  • Find a good rule of thumb to decide the number of hidden layers in a neural net.

Challenges

  • Investigate other blind signal separation techniques, such as ICA.
  • Use other methods, such as poisson, in the rpart function (especially if you have a natural occurring dataset).

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