Data Science

Active learning is a powerful technique that can help us automate the labeling process for large datasets. By selecting a subset of the data that is most relevant to the task at hand, active learning can be more efficient than manually labeling every example in a dataset. This can lead to better results and more accurate predictions. In this blog post, I’ll walk through the concept of active learning, how it works, and share a step-by-step implementation of how to automate dataset labeling for a text classification task using this method.

In the rapidly evolving field of data science, several specialized roles have emerged to tackle various aspects of data management, analysis, and implementation. Among these roles, data scientists, data analysts, and data engineers are some of the most prominent.