Optimisation
Training a machine learning model is about finding a good set of parameters. The best value is the minimum value.
- Global minima: The point where a function best values takes the minimum value. When the aim is to minimise the function and solve it using optimisation algorithms, the function could have a minimum value at various points. It is called local minima.
- Unconstrained optimisation is where we see the minimum of a function.
- Constrained optimisation introduces a set of constraints to limit possible value.
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