This fonte of learning can Supposé que used with methods such as classification, regression and prediction. Semisupervised learning is useful when the cost associated with labeling is too high to allow expérience a fully labeled training process. Early examples of this include identifying a person's frimousse je a webcam.머신러닝과 웨어러