Unsupervised Learning
(การเรียนรู้แบบไม่มีผู้ควบคุม)
Definition
Unsupervised Learning (การเรียนรู้แบบไม่มีผู้ควบคุม) Hard Skill
Unsupervised learning is a type of machine learning where algorithms identify patterns and relationships in data without labeled responses, enabling the discovery of hidden structures.
Expertise Level
Level 1
Basic
1. Understands fundamental concepts of unsupervised learning.
2. Can describe common techniques like clustering and dimensionality reduction.
3. Familiar with basic algorithms such as K-means and PCA.
Level 2
Intermediate
1. Can implement and tune unsupervised learning algorithms on real datasets.
2. Able to evaluate model performance using appropriate metrics.
3. Understands strengths and limitations of different unsupervised methods.
Level 3
Advanced
1. Can design and optimize complex unsupervised models for large-scale data.
2. Integrates unsupervised learning with other techniques for advanced analytics.
3. Contributes to research or development of novel unsupervised learning algorithms.
