Unsupervised Learning Flashcards
What is unsupervised learning?
A type of machine learning where the model is trained on unlabeled data without explicit guidance from a teacher.
What is the goal of unsupervised learning?
To identify patterns and relationships in the data without any prior knowledge or understanding of what these patterns may be.
What are some types of unsupervised learning techniques?
Clustering, anomaly detection, and dimensionality reduction.
What is clustering?
The process of grouping similar data points together based on their features or characteristics.
What is anomaly detection?
The process of identifying data points that are significantly different from the rest of the data, which could be indicative of errors, fraud, or other unusual events.
What is dimensionality reduction?
The process of reducing the number of features in the data while retaining the most relevant information
What is the application of unsupervised learning?
Identifying hidden structures in complex datasets, such as grouping customers with similar purchasing habits or detecting anomalies in network traffic data that may indicate a cyber attack.
What is the difference between unsupervised learning and supervised learning?
In unsupervised learning, the model is not taught by a teacher or given specific instructions, whereas in supervised learning, a teacher provides labeled data to the model for training.
