In machine learning, the designer first picks a model, and then in a training phase , uses data to derive the parameters for that model which best fits the data in some sense. The performance of the model is then evaluated using test data that's different from the training data .多重下拉选择题
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类似问题
Which example below lists only classic model families?
Learning types describe how a model learns based on the available data and learning signal, while model families describe what kind of algorithm or model is used.
Deep learning is a learning type, just like supervised learning and unsupervised learning.
Supervised learning uses target values or labels during training, while unsupervised learning looks for patterns without given target values.
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