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Questions and Answers
What is an example of a common data format used in machine learning?
What is an example of a common data format used in machine learning?
- JSON
- XML
- CSV (correct)
- YAML
Which technique is used to prevent overfitting in machine learning models?
Which technique is used to prevent overfitting in machine learning models?
- Gradient descent
- Regularization (correct)
- Feature scaling
- Cross-validation
What is the primary goal of unsupervised learning in machine learning?
What is the primary goal of unsupervised learning in machine learning?
- Regression
- Feature selection
- Clustering (correct)
- Classification
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Study Notes
Common Data Formats
- CSV (Comma Separated Values) is a common data format used in machine learning, where data is stored in a plain text file with each value separated by a comma.
Techniques for Preventing Overfitting
- Regularization is a technique used to prevent overfitting in machine learning models, where a penalty term is added to the loss function to discourage large weights.
Unsupervised Learning
- The primary goal of unsupervised learning in machine learning is to identify patterns or relationships in the data, without a specific target or response variable.
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