Bias in AI refers to systematic errors or prejudices that can occur within AI systems due to biased training data, faulty algorithms, or human biases. Addressing bias in AI is crucial for ensuring fairness, inclusiveness, and ethical practices in AI applications.
Hyperparameters are parameters that are set before the training of an AI model. They control the behaviour and performance of the model, such as…
