, which mixes elements of supervised and unsupervised methods. This technique uses a little number of labeled data and a larger quantity of unlabeled data, thus improving upon learning precision although lessening the need for labeled data, that may be time and labor intense to procure. Concerning the future of https://aiinnovationconsulting30495.idblogmaker.com/27757205/what-does-ai-process-automation-mean