Image analysis theory
Image processing Theory jargon Difference between supervised and unsupervised learning Criteria Supervised Learning Unsupervised Learning Data Uses labeled data for training. Uses unlabeled data for training. Goal Predict a label for new data based on past observations. Discover hidden patterns or intrinsic structures within the data. Examples Classification, Regression Clustering, Association Complexity Less complex as it has a clear goal. More complex due to the lack of clear goal. Usage When the outcome of the problem is known....