Unsupervised Learning with real-world examples
Mar 7, 2023
Unsupervised learning is a type of machine learning where a model learns from unlabeled data to find patterns or structure. Some examples are:
- Personalized recommendations: Many online platforms use unsupervised learning to group users or items based on their preferences or features and then recommend them relevant products, services, or content.
- Cybersecurity: Some advanced cybersecurity programs use unsupervised learning to detect anomalies or suspicious activities in network traffic, user behavior, or system logs.
- Customer segmentation: Many marketing departments or companies use unsupervised learning to cluster customers based on their demographics, behaviors, interests, etc. and then design targeted campaigns for each segment.
- Speech recognition: Some applications that involve speech recognition use unsupervised learning to transcribe speech into text or perform natural language processing tasks.
