MS-DS Master of Data science FREE Master of Data Science Machine Learning Questions and Answers 2

Question 1

Which regularization technique adds the absolute value of coefficients as a penalty term to the loss function?

Accepted Answer

L1 (Lasso) regularization

Answer

L1 regularization adds the sum of absolute values of coefficients to the loss function, which can drive some coefficients to exactly zero.

Question 2

In a random forest algorithm, what technique is used to create diversity among individual decision trees?

Accepted Answer

Bagging with feature subsampling

Answer

Random forests use bootstrap aggregating (bagging) combined with random feature subsampling at each split to ensure diversity among trees.

Question 3

What does the silhouette score measure in unsupervised learning?

Accepted Answer

How well each data point fits within its assigned cluster compared to neighboring clusters

Answer

The silhouette score ranges from -1 to 1 and measures how similar a point is to its own cluster versus the nearest neighboring cluster.

Question 4

Which activation function is most commonly used in hidden layers of modern deep neural networks?

Accepted Answer

ReLU

Answer

ReLU (Rectified Linear Unit) is preferred in hidden layers because it mitigates the vanishing gradient problem and enables faster training.

Question 5

What is the primary purpose of cross-validation in machine learning model development?

Accepted Answer

To estimate how well the model generalizes to unseen data

Answer

Cross-validation partitions data into multiple train-test splits to provide a reliable estimate of model performance on unseen data.

MS-DS Master of Data science Practice Test