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G(I)RWM — Machine Learning Edition | No Data?
- Machine learning models require specific types of data as fuel.
- Understanding the type, structure, and representation of data is crucial for model learning.
- Encoding is used to translate non-numerical data into machine-readable format.
- Choosing the right data type and encoding strategy is essential for accurate model training.
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