What Are the Applications of Supervised Machine Learning in Modern Businesses?

Data Science, AI and ML
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Applications of supervised machine learning include:

  • Email Spam Detection

Here we train the model using historical data that consists of emails categorized as spam or not spam. This labeled information is fed as input to the model.

  • Healthcare Diagnosis

By providing images regarding a disease, a model can be trained to detect if a person is suffering from the disease or not.

  • Sentiment Analysis

This refers to the process of using algorithms to mine documents and determine whether they’re positive, neutral, or negative in sentiment.

  • Fraud Detection

By training the model to identify suspicious patterns, we can detect instances of possible fraud.