Application of Supervised Learning
There are many applications across the industry, since it provides the best algorithms for finding accurate results.
- Fraud Detection in Banking and Finance Sector: It helps in identifying whether the transactions made by the users are genuine.
- Spam detection: With the help of specific keywords and different content, Supervised Learning can easily detect emails if it is spam. It recognizes certain keywords and sends them into the spam category.
- Bioinformatics: The biggest application is to store the biological information of human beings. This could be information related to fingertips, eyes, swabs, iris textures, and a lot more.
- Object recognition: Another application is “Recatch” (prove you are not a robot). Here, choose multiple images to confirm if you are a human. You can access certain information only if you can identify it correctly. If not, keep trying until you get the right identifications.
Supervised learning is used to train machines so you can develop predictive data models. They have multiple applications across all domains and industries. It requires expertise to build, scale and update the models.