BASICS – SUPERVISED MACHINE LEARNING

From the perspective of a machine-learning user, the machine-learning model looks like a black box,

a). Ingest data in and get predictions out.

Here x denotes Numerical value or Multi-dimensional vector.

The box does magic process for the value of X and generate prediction output of y.

Supervised ML is divided into 2 phases.

   1.Training Phase

Instruct the model to predict Y for the given input of X. If Model outputs Y then compare it to Y’. If they are not same, update the model to generate an output that is closer to y’.

   2.Inference Phase

In this phase, the model has the power to predict outputs for the inputs that never been observed in the training data.