Following are the applications of machine learning:
- Fraud Identification: Supervised learning trains the model for identifying the suspicious patterns; we can identify the feasible fraud instances.
- Healthcare: By giving images about a disease, supervised machine learning can train the model for detecting whether a person is affected by illness or not.
- Email spam identification: We train the model through historical data which contains emails that are classified as spam or not spam. This labeled data is supplied as the input to the model.
- Sentiment Analysis: This relates to the process of using algorithms for mining the documents and determining if they are negative, neutral, positive in sentiment.