Unsupervised Learning
Unsupervised learning is an AI technology that autonomously learns patterns among data without labels and is applied in various fields.
Unsupervised Learning
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Unsupervised learning refers to a method of learning relationships and patterns autonomously from various data without being given answers.
Through this, artificial intelligence can be utilized in various areas such as product recommendations and customer management.
In this article, we'll explore unsupervised learning.
🤖 Concept and Application of Unsupervised Learning
Unsupervised learning is a method of autonomously learning relationships or patterns between data based on data without answers.
- Utilizes clustering techniques that group similar items together based on unlabeled data
- While supervised learning learns from data with given answers, unsupervised learning derives meaningful structures on its own without answers
Unsupervised learning has great strengths in extracting useful information and discovering new insights.
Source: Let's Play with Software
📊 Use Cases of Unsupervised Learning
Unsupervised learning is utilized to analyze countless data every day.
- Analyzing word frequency to improve customer management efficiency
- Grouping people who purchased similar products
- Automatically classifying types of new customers
In this way, unsupervised learning is usefully applied in various industries through its ability to find and classify patterns even in data without answers.
Source: Let's Play with Software
Conclusion
In this AKEO EDU article, we covered unsupervised learning, one of the machine learning methods.
Unsupervised learning is performing an important role in various industrial sectors through its ability to autonomously analyze data without given answers and discover patterns.
- Clustering to group customers
- Building personalized recommendation systems
- Extracting meaningful information from large amounts of data
Going forward, unsupervised learning will develop as a key tool for handling vast amounts of data, and its potential will expand even further.