Machine Learning (Mid-term Exam)

What does the term “Machine Learning” primarily refer to?

• Programming by hand

• Statistical inference

• Algorithms that learn from data

• Artificial general intelligence

Which of the following is not a type of Machine Learning?

• Supervised Learning

• Reinforcement Learning

• Artificial Learning

• Unsupervised Learning

Which ML type involves learning from labeled data?

• Unsupervised

• Reinforcement

• Supervised

• Semi-supervised

In reinforcement learning, an agent learns by:

• Clustering data

• Receiving rewards or penalties

• Observing labeled examples

• Direct programming

Which of the following is best suited for customer segmentation?

• Supervised Learning

• Reinforcement Learning

• Unsupervised Learning

• Regression

A credit card fraud detection system is most likely using:

• Reinforcement Learning

• Unsupervised Learning

• Supervised Learning

• Clustering

In the ML pipeline, what is the first step?

• Model deployment

• Feature engineering

• Data collection and cleaning

• Evaluation

Which of the following best describes feature engineering?

• Removing outliers

• Selecting the algorithm

• Creating new input features

• Hyperparameter tuning

Which step in the ML pipeline comes after model training?

• Data labeling

• Deployment

• Model evaluation

• Data acquisition

In deep learning, which of the following is typically used?

• Decision trees

• Linear regression

• Neural networks

• K-means clustering