Question: Which machine learning technique is used for grouping similar data points together based on their characteristics?
Answer:
Clustering techniques are used for grouping similar data points together based on their characteristics.
MCQ: Which machine learning technique is used for grouping similar data points together based on their characteristics?
Correct Answer:
A. Classification
Explanation:
Clustering techniques are used for grouping similar data points together based on their characteristics.
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Related Questions
- 1. What is the term for the process of fine-tuning a machine learning model's hyperparameters to improve its performance?
- 2. What is the term for the process of teaching a machine learning model by providing it with labeled examples?
- 3. In machine learning, what is the term for the difference between a model's predicted output and the actual correct output?
- 4. Which machine learning algorithm is commonly used for solving classification problems, particularly for binary classification?
- 5. What is the primary challenge associated with overfitting in machine learning?
- 6. What type of machine learning technique is used for making a sequence of decisions to maximize a cumulative reward?
- 7. What is the term for the process of grouping similar data points together based on their characteristics?
- 8. In machine learning, what does the term "bias" refer to?
- 9. Which machine learning algorithm aims to find patterns or relationships in data without the need for explicit supervision?
- 10. What is the primary purpose of principal component analysis (PCA) in machine learning?
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