If the training performance is satisfactory, and if the model is validated with realistic, representative cases, then the trained network can be used as a predictive model.
Asked if the training was adequate, he says "I certainly think so".
If the training schedule is met in five days, soldiers are off the sixth and seventh.
However, if the training is necessary for the employee to meet the minimum educational requirements for employment, or if the training will qualify the employee for a new trade or business, the payments will not qualify for this additional exclusion.
If the training set is large, then kNN can handle non-spherical and other complex classes better than Rocchio.
Nonlinear learning methods sometimes perform better if the training set is large, but by no means in all cases.
An optimum net design is meaningless if the training, testing, and validation data do not adequately characterize the problem being solved.
Results showed that the training dataset size strongly affects the classifier accuracy, but if the training data increase, the rate of improvement decreases.
It is also now easier for students to have their VET Fee-help debt cancelled if the training provider has misled them.
Isn't it difficult to use machine learning if the training data isn't already labeled and explained, to give the AI a "truth" to get started from?
She never complained if the training was too hard.
