Perfect for beginners with simple, common vocabulary
Decoding Algorithms in Machine Learning
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Across
- 2. Grouping of similar data points in unsupervised learning
- 3. Model that captures noise rather than underlying pattern
- 5. Vector indicating the direction of steepest ascent in optimization
- 6. Type of analysis predicting continuous outcomes
- 10. One complete pass through the training dataset
- 11. Probabilistic theorem often used in classification algorithms
Down
- 1. Subset of data processed at once in training
- 4. Metric that quantifies prediction error during training
- 7. Learning paradigm based on rewards and penalties
- 8. Individual measurable property or characteristic used for analysis
- 9. To estimate unknown outcomes based on input data
- 12. Algorithm that finds the hyperplane to separate classes
- 13. Type of network inspired by the brain's structure
- 14. Model structure with nodes splitting data based on features
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