Machine Learning — Prelims Questions

Which of the following statements best describes the primary objective of Machine Learning?

Consider the following applications of Machine Learning in the Indian context: 1. Predicting crop yield based on weather patterns and soil data. 2. Detecting fraudulent transactions in digital payment systems. 3. Optimizing traffic signal timings in smart cities. 4. Classifying satellite imagery for urban planning. Which of the above are examples of Supervised Learning applications?

The Digital Personal Data Protection Act, 2023, has significant implications for Machine Learning applications in India. Which of the following principles enshrined in the Act is most directly relevant to the ethical deployment of ML models?

Which of the following is NOT a common challenge associated with the widespread adoption of Machine Learning in public administration?

Consider the following statements regarding Reinforcement Learning (RL): 1. RL algorithms learn from labeled datasets to make predictions. 2. RL agents learn by interacting with an environment and receiving rewards or penalties. 3. RL is commonly used in applications like optimizing traffic flow and robotics. Which of the statements given above is/are correct?