Crucial Exams

AWS Certified AI Practitioner AIF-C01 Practice Question

Within the context of machine learning, what does the term "bias" most accurately describe when evaluating a model's predictions against real-world outcomes?

  • A consistent error introduced by algorithmic assumptions or training data that favors certain outcomes in the model's predictions.

  • Random fluctuations in predictions that arise solely from noisy data samples.

  • The total number of trainable parameters present in a specific neural network layer.

  • The iterative procedure of adjusting model weights during backpropagation.

AWS Certified AI Practitioner AIF-C01
Fundamentals of AI and ML
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