What is the process of dividing each feature by its range called ?
Feature Scaling — Correct
Input variables are also known as feature variables.
True — Correct
Output variables are known as Feature Variables .
False — Correct
__ controls the magnitude of a step taken during Gradient Descent .
Learning Rate — Correct
The objective function for linear regression is also known as Cost Function.
True — Correct
What is the process of subtracting the mean of each variable from its variable called ?
Mean Normalization — Correct
For different parameters of the hypothesis function we get the same hypothesis function.
False — Correct
How are the parameters updates during Gradient Descent Process ?
Simultaneously — Correct
The result of scaling is a variable in the range of [1 , 10].
False — Correct
What is the Learning Technique in which the right answer is given for each example in the data called ?
Supervised Learning — Correct
Problems that predict real values outputs are called ?
Regression Problems — Correct
Cost function in linear regression is also called squared error function.
True — Correct
What is the name of the function that takes the input and maps it to the output variable called ?
Hypothesis Function — Correct
Linear regression is an optimal function that can be used for classification problems
false correct
Underfit data has high variance
False correct
Problems, where discrete-valued outputs are predicted, are called? classification