Q.No 6. In machine learning, what is the primary task of an artificial neuron?a. Feature Extractionb. Activation Functionc. Weighted Sumd. All of the above

d. All of the above

Explanation:

In machine learning, an artificial neuron performs all of the tasks mentioned above.

a. Feature Extraction: It is the process of defining the inputs or variables that the model will use to make predictions.

b. Activation Function: It is used to introduce non-linearity into the output of a neuron. This is important because most real world data is non linear and we want neurons to learn these non linear representations.

c. Weighted Sum: Each input to a neuron has an associated weight which is learned during the training process. The neuron computes the weighted sum of its input which is then passed through an activation function to produce the output.