‹ Machine learning

Natural things as ML systems

Evolution.

  • Evolutionary landscape talks about:
    • fitness function
    • environment
    • organisms
    • genes (the selfish gene)
    • evolution
  • This maps onto ML systems pretty well:
    • fitness = objective function/loss.
    • environment = the distribution.
    • evolution = optimizer.
    • genes = the parameters.
  • the genome instantiates a generative model of the organism