Sign Up to our social questions and Answers Engine to ask questions, answer people’s questions, and connect with other people.
Login to our social questions & Answers Engine to ask questions answer people’s questions & connect with other people.
Lost your password? Please enter your email address. You will receive a link and will create a new password via email.
Please briefly explain why you feel this question should be reported.
Please briefly explain why you feel this answer should be reported.
Please briefly explain why you feel this user should be reported.
Questions | Answers | Discussions | Knowledge sharing | Communities & more.
Supervised learning is a type of machine learning where the algorithm learns from labeled data, meaning it is provided with input-output pairs during training. The goal is to learn a mapping from input to output. In contrast, unsupervised learning involves learning patterns and structures from unlabeled data without specific guidance on the desired output. Instead, the algorithm tries to find inherent structures or relationships within the data itself.
Supervised learning uses labeled data for training, while unsupervised learning uses unlabeled data.