Answer Posted / Mohd. Imran Ansari

"Controlling for biases in machine learning involves several strategies: 1) Randomization, to ensure that the dataset is representative and unbiased. 2) Cross-validation, to estimate the performance of the model on new data without overfitting or underfitting. 3) Regularization, to avoid overfitting by adding a penalty term to the loss function. 4) Balanced datasets, to ensure that there is an equal number of samples in each class (when applicable). 5) Bias correction techniques for classification and regression problems."n

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