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

L2 (Ridge) regularization

Answer

Elastic Net regularization

Answer

Dropout regularization

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

Gradient boosting

Answer

Principal component rotation

Answer

Sequential feature elimination

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 total variance explained by the clustering

Answer

The number of optimal clusters in a dataset

Answer

The distance between cluster centroids

Question 4

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

Accepted Answer

ReLU

Answer

Sigmoid

Answer

Tanh

Answer

Softmax

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

To increase the size of the training dataset

Answer

To select the best features for the model

Answer

To speed up the training process

Question 6

In gradient boosting, what does each successive model attempt to predict?

Accepted Answer

The residual errors of the previous model

Answer

The original target variable

Answer

The feature importances

Answer

The learning rate for the next iteration