Definition
Model training is the process of feeding data into a machine learning algorithm to learn patterns and relationships, adjusting the model’s parameters until it achieves a desired level of performance.
Why it matters (in Poovi’s context)
This is the most computationally demanding part of ML/AI development and directly influences the need for powerful hardware like GPUs and substantial memory, as discussed for Agnes’s requirements.
Key properties or components
- Learning from data
- Parameter adjustment
- Performance optimisation
- Computationally intensive
Contradictions or debates
None.