, which mixes areas of supervised and unsupervised techniques. This method makes use of a small quantity of labeled data and a bigger amount of unlabeled data, thus strengthening learning precision whilst lowering the need for labeled data, which may be time and labor intensive to obtain. A noteworthy milestone https://machine-learning73848.blog-eye.com/28177533/not-known-factual-statements-about-machine-learning