Question: What is the primary objective of reinforcement learning in machine learning?
Answer:
The primary objective of reinforcement learning is decision-making, where an agent learns to make a sequence of decisions to maximize a reward.
MCQ: What is the primary objective of reinforcement learning in machine learning?
Correct Answer:
A. Classification
Explanation:
The primary objective of reinforcement learning is decision-making, where an agent learns to make a sequence of decisions to maximize a reward.
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Related Questions
- 1. Which type of machine learning algorithm is used for classifying data into predefined categories?
- 2. What is the purpose of unsupervised learning in machine learning?
- 3. Which machine learning technique involves training a model to mimic the behavior of the human brain?
- 4. In natural language processing (NLP), what is the term for reducing words to their base or root form?
- 5. What type of machine learning algorithm is commonly used for anomaly detection?
- 6. What is the primary purpose of a convolutional neural network (CNN)?
- 7. What is the term for the process of reducing the dimensionality of data while preserving its essential features?
- 8. What type of machine learning algorithm is used for predicting numerical values or continuous outcomes?
- 9. Which machine learning technique aims to find the optimal solution by mimicking the process of natural selection and evolution?
- 10. In machine learning, what is the primary goal of feature engineering?
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