3 Game-Changing Techniques to Harness Unlabelled Data in Machine Learning

Author(s): Sai Viswanth

Originally published on Towards AI.

Annotation can be very very expensive
Photo by Pietro Jeng on Unsplash

Are you embarking on the journey to becoming a Machine Learning Engineer or simply a passionate learner eager to extract insights from the wealth of unlabelled data in the real world? If so, understanding how to harness Unlabelled data effectively is essential.

At the beginning of my journey as a data scientist, I was actually playing with public datasets such as Kaggle, which was properly organized, and most of the time, the dataset had labels.

A big realization came when 99% of established companies used raw data to train their machine-learning models. Raw data lacks proper structure… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI