Related InterviewSolutions

• What is the name of the function that takes the input and maps it to the output variable called?
• What measures the extent to which the predictions change between various realizations of the model?
• Which of the following option/options are the advantages of SQLite?
• What is the Learning Technique in which the right answer is given for each example in the data called?
• How are the parameters updated during Gradient Descent process?
• I have a scenario where my hypothesis fits my training set well but fails to generalize for the test set.
• For ____________, the error is calculated by finding the sum of squared distance between actual and predicted values.
• ____________ function is used as a mapping function for classification problems.
• ____________ controls the magnitude of a step taken during Gradient Descent.
• When an ML Model has a high bias, getting more training data will help in improving the model.