# Author: MLNerds

## What is Temporal Leakage in ML Pipelines?

## Feedback Loops: What causes Bias Amplification in Recommender Systems?

## Gaussian Processes for Bayesian Hyperparameter Tuning

Click here for the python code to get started

## Stratified Sampling for Imbalanced Datasets

## Successive Halving For Grid Search

## How to tune hyperparameters with Randomized Grid Search?

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.

## How to find the Optimal Threshold from ROC curve?

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.

## METEOR metric for machine translation

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…

## BLUE Score

This brief video describes the BLEU score, a popular evaluation metric used for sevaral tasks such as machine translation, text summarization and so on. What is BLEU Score? BLEU stands for Bilingual evaluation Understudy. It is a metric used to evaluate the quality of machine generated text by comparing it with a reference text that…