Intro#
understand why human is still relevant ; xor challange
is problem is classification or regression?#
demo: rain prediction
classification: the rain mesurement is a continuous value, for example from 0 to 500;
regression: the rain mesurement is a by ranges for city management : from 0-25 do nothing; for 25-200 do something; for 200-500 close the city…
train#
When training a model, we optimize it vs. a loss function
Measures the “deviation” / “distance” of the model output to an input from the ground truth data or other measure.
Serves the optimization (Minimization / Optimization) step of the model’s parameters.
Usually is smooth and differentiable (Sub Gradient).
Examples: MSE, MAE, Cross Entropy, …
eval#
When evaluating a model, we measure its performance using metrics / scores.
Measures the fit of the model to real world measures of its performance.
Serves the evaluation step of a trained model or the progress of the training
Has no limitations but being computable.
Examples: Accuracy, Number of outliers, AUC, …