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Related Questions
- What are the primary factors influencing the size of training datasets in machine learning?
- How do the domains of the training datasets, such as text or image, impact their size?
- What are the effects of data preprocessing and cleaning on the final size of the training dataset?
- How do the sources of the training data, such as web scraping or human annotation, affect the dataset size?
- Can you discuss the role of data sampling and stratification in controlling the size of the training dataset?
- What are the differences in dataset size between supervised and unsupervised learning tasks?
- How do the requirements of the specific machine learning model, such as complexity or accuracy, influence the desired dataset size?
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