Introduction

We are currently immersed in a large quantity of data and information which we can use to create efficient models of machine learning. The biggest drawback we found when we are working with supervised models is that we don’t have enough tagged data. Data tagging involves a great effort in time and cost.

In this blog post I’m going to tell you which strategies are employed to label data in a smart way to achieve more robust models with less tagged data, this is called Active Learning method. …

Elbio Zapata

Data Scientist at Mercado Libre

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