, which mixes components of supervised and unsupervised strategies. This method makes use of a small amount of labeled data and a bigger number of unlabeled data, therefore improving upon learning precision while reducing the need for labeled data, that may be time and labor intensive to acquire. The main https://aisolutions26505.blogdal.com/28352586/what-does-ai-process-automation-mean