AI For Beginners 2

Question 1

Which type of machine learning uses labeled training data to learn a mapping from inputs to outputs?

Accepted Answer

Supervised learning

Answer

Supervised learning trains on labeled input-output pairs so the model can predict outputs for new inputs.

Question 2

What does the term 'overfitting' mean in machine learning?

Accepted Answer

The model performs well on training data but poorly on new data

Answer

Overfitting occurs when a model memorizes training data noise and fails to generalize to unseen examples.

Question 3

What is a neural network's 'activation function' used for?

Accepted Answer

To introduce non-linearity into the network

Answer

Activation functions add non-linearity, allowing neural networks to learn complex patterns beyond simple linear relationships.

Question 4

Which metric is most appropriate for evaluating a binary classification model on a heavily imbalanced dataset?

Accepted Answer

F1 Score

Answer

F1 Score balances precision and recall, making it more informative than accuracy when class distribution is skewed.

Question 5

What is the purpose of a validation set during model training?

Accepted Answer

To tune hyperparameters without touching the test set

Answer

The validation set allows engineers to tune hyperparameters and detect overfitting before final evaluation on the test set.

AI - Engineer Practice Test