Let us learn on semi-supervised machine learning.

Semi-Supervised Machine Learning :

• Semi-supervised machine learning is a type of machine learning algorithm that is in between Supervised and Unsupervised machine learning.

• This algorithm use the combination of labelled and unlabeled dataset during the training period of the machine.

• To overcome the drawbacks of supervise learning and unsupervised learning algorithms the concept of semi-supervise learning is introduced.

• The main goal of semi-supervised learning is to effectively use all the available data rather than only labelled and unlabeled data.