Semi-supervised learning stands somewhere between the two. It solves classification problems, which means you’ll ultimately need a supervised learning algorithm for the task.

Like other machine learning methodologies, semi-supervised learning can face issues with data quality, incorrect predictions, or bias based on the labeled data provided.

In machine learning problems where supervised learning might be a good fit but there’s a lack of quality data available, semi-supervised learning offers a potential solution.

Machine learning is a powerful tool that can be used to solve a variety of problems. However, it is important to note that machine learning algorithms are only as good as the data they are trained on.

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Machine learning has proven to be very efficient at classifying images and other unstructured data, ... What is semi-supervised machine learning? January 18, 2021 - 11:00 am ...