, which combines elements of supervised and unsupervised methods. This technique takes advantage of a little degree of labeled data and a bigger amount of unlabeled data, thereby bettering learning accuracy though reducing the need for labeled data, which can be time and labor intense to acquire. According to IDC, https://ai-innovation-consulting85206.blog-gold.com/34086703/5-easy-facts-about-machine-learning-consulting-described