Category: Machine Learning

Recommender systems often suffer from exposure bias, where we have customer feedback from only those items we actually recommend to the customers. Since only the shown items can collect positive feedback, we end up showing the same items again and again to the customers. This phenomemon is often called bias-amplification or a feedback loop. This…

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Randomized Grid Search is a variation of Grid Search that samples each parameter from a distribution. Conventional grid search evaluates the model at fixed combinations of parameter values and could be very inefficient as the complexity grows exponentially with the number of parameters. Randomized Grid search is a more efficient and an effective alternative.

This brief video talks about how the ROC curve is constructed and how one can find the optimal threshold for a classifier such as logistic regression, from the ROC curve.

This short video describes METEOR, a metric for evaluating machine generated text. It is used to evaluate whether the candidate text generated by an ML model matches the reference text (that is supposed to be generated). Where is the METEOR metric used? Meteor metric was primarily used in the Machine Translation literature. Checkout our article…