How Machine Learning Works

Reward/Punishment mechanism on model prediction (forecasted) vs rating (actual).

• We tell the model if something is right or wrong each time a variable is tweaked.

"Dimension" = variable = one aspect of the subject in question.

• e.g. color of tree,

Gradient Descent

• Uses Objective Function equation to change the internal numbers towards the right direction.
• Becomes more accurate next time.