YouTube Video Review: Learndataa’s videos on semi-supervised learning

Because I have an interest in all things machine learning, it was only a matter of time that I would begin to study semi-supervised machine learning. I therefore found two YouTube videos from Learndataa that I watched, took notes on, and practices the concepts discussed in these two short videos. Because the two videos covered some important information, I decided to review them for the sake of clarity:-

There are three forms of machine learning, being:-

1. Supervised
2. Semi-supervised
3. Unsupervised

This review will cover only semi-supervised training. Semi-supervised machine learning is a combination of supervised and unsupervised machine learning methods. With more common supervised machine learning methods, a machine learning algorithm can be trained on a labelled dataset, where each row of data includes outcome information. This allows the algorithm to deduce patterns and identify relationships between the target variable and the rest of the dataset based on information it already has. Unsupervised machine learning algorithms learn from data without the outcome variable. In semi-supervised learning, an algorithm learns from a dataset that includes both labelled and unlabelled data, usually mostly unlabelled.