compute & model

Being at Princeton, I’m surrounded by computational modeling, so I will aggregate sources here.

Reading list

Data science book

Network analysis

Neural network

Reinforcement Learning

Dimensionality Reduction

Machine Learning

  • techniques: Link
  • Easyml: Easily Build And Evaluate Machine Learning Models

Drift Diffusion

  • Drift Diffusion model is a computational model of decision making that decomposes reaction times and responses into cognitive components. The linked package is a specific python package I have used before.
  • Heirarchical Bayesian method: Link
  • hBayesDM: Link

Social Modeling

  • David Rand’s behavioral economics code: Link
  • Social Network Analysis class: Link
  • Bootnet: Link