18CSC305J - Artificial Intelligence UNIT 4 & 5
I have only updated some answers...The ppt is not clear and many contents are missing, so you can say we have to refer online only for the answers. So please make do with these. 4M: Supervised vs Unsupervised SUPERVISED LEARNING UNSUPERVISED LEARNING Requires labeled data Uses unlabeled data Predicts output based on input-output relationships Extracts patterns or relationships from the input data Classification and regression Clustering and association Receives feedback during training to adjust parameters Does not receive explicit feedback during training More complex More simple What is adaptive network? Adaptive learning brings human analysts into the process at every step. This is in contrast to rule-based, simple machine learning and deep learning approaches, where the humans only create rules and label data at the start of the process. Adaptive learning systems require the least human effort because they only require human input when it matters most and continually exp...
This comment has been removed by the author.
ReplyDelete