FA I ML QUIZ

Machine Learning is a field of AI consisting of learning algorithms that_________

• At executing some task

• Over time with experience

• Improve their performance

• All of the above

Machine learning is interested in the best hypothesis h from some space H, given observed training data D. Here best hypothesis means______

• Most probable hypothesis
• Most general hypothesis
• Most specific hypothesis
• None of the Above

The prior goal of unsupervised learning model is to determine the ________ .

• Discuss
• Regression task
• Data patterns
• Classification task

Which of the following methods DOES NOT prevent a model from overfitting to the training set?

• Dropout
• Pooling
• Early stopping
• Data augmentation

In linear regression, we try to ______ the least square errors of the model to identify the line of best fit.

• Change
• Maximize
• Minimize
• None of the above

We can compute the coefficient of linear regression by using

• Gradient descent
• Normal Equation
• Both (a) and (b)
• None of the above

Which of the following is true about Residuals?

• Higher is better
• Lower is better
• Both (a) and (b)
• Option 4
• None of the above

Designing a machine learning approach involves:-

• Choosing the type of training experience
• Choosing the target function to be learned
• Choosing a representation for the target function
• Choosing a function approximation algorithm
• All of the above

What is true regarding backpropagation rule?

• it is a feedback neural network
• actual output is determined by computing the outputs of units for each hidden layer
• hidden layers output is not all important, they are only meant for supporting input and output layers
• none of the mentioned

What are general limitations of back propagation rule?

• local minima problem
• slow convergence
• scaling
• all of the mentioned