Achieving high model accuracy

Fitting the model to the training data too closely

Underutilizing the training data

Reducing the model's complexity

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BERT

Gaussian Naive Bayes

Principal Component Analysis (PCA)

Reinforcement learning is the process of training AI models with supervised data. An example application is image classification.

Reinforcement learning is the process of training AI models with labeled data. An example application is autonomous driving.

Reinforcement learning is the process of learning from interaction with an environment to maximize rewards. An example application is training a robot to play chess.

Reinforcement learning is the process of using pre-defined rules to make AI decisions. An example application is spam email filtering.