Selected MCQ

Current Question
Which algorithm is best suited for classification tasks in machine learning?
  • A. Linear regression
  • B. K-means
  • C. Support vector machine
  • D. PCA
Correct Answer: C
Explanation:
Support Vector Machine is commonly used for classification problems.
Related Question 1
What is 'ensemble learning' in machine learning?
  • A. Training deep networks only
  • B. Combining predictions of multiple models
  • C. Feature scaling process
  • D. A single-model hyperparameter search
Correct Answer: B
Explanation:
Ensemble learning combines predictions from several models to improve overall performance.
Related Question 2
Which of these is a type of unsupervised learning algorithm?
  • A. Decision tree
  • B. K-means clustering
  • C. Logistic regression
  • D. Random forest
Correct Answer: B
Explanation:
K-means is a clustering algorithm used in unsupervised learning.
Related Question 3
In machine learning, what is 'dropout'?
  • A. Dropping the dataset
  • B. Randomly omitting neurons during training
  • C. Pruning decision trees
  • D. Deleting old data
Correct Answer: B
Explanation:
Dropout is a regularization technique in which random neurons are randomly deactivated during training to prevent overfitting.
Related Question 4
What does "CNN" typically stand for in machine learning?
  • A. Circular Neural Network
  • B. Convolutional Neural Network
  • C. Cascaded Neural Net
  • D. Cluster Network Model
Correct Answer: B
Explanation:
CNN stands for Convolutional Neural Network, often used in image processing tasks.
Related Question 5
Which of the following tasks is an example of unsupervised learning?
  • A. Predicting housing prices
  • B. Grouping customers by purchasing behavior
  • C. Classifying emails as spam or not
  • D. Translating text from English to French
Correct Answer: B
Explanation:
Clustering customers by behavioral similarity is an unsupervised learning task, since no labels are provided.