Supervised Learning
Supervised learning is a method of training AI based on labeled data and is used for various prediction and classification tasks.
Supervised Learning
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Supervised learning is a machine learning method that trains artificial intelligence based on predetermined correct answers (labels).
It is widely utilized in various fields such as weather forecasting, price prediction, spam email classification, and disease diagnosis.
In this article, we'll explore the concept of supervised learning and its practical applications.
🚀 Concept and Applications of Supervised Learning
Supervised learning is a method of training artificial intelligence based on data with given correct answers. These correct answers are called labels, and a typical example is creating training data by labeling photos of 'apples' and 'bananas' with their respective names.
Through this learning, AI becomes capable of predicting which label new data belongs to.
Major Use Examples
- Image Classification: Distinguishing whether a photo shows an apple or a banana
- Spam Email Classification: Analyzing email content to determine if it's spam
- Weather Forecasting: Predicting weather based on meteorological data
- Disease Diagnosis: Analyzing medical data to diagnose the presence of diseases
Source: Let's Play with Software
🧠 Practical Use Cases of Supervised Learning
- Weather Forecasting through Meteorological Data Analysis: Predicting tomorrow's weather based on information such as temperature, humidity, and atmospheric pressure
- Price Prediction through Stock Data Analysis: Learning from historical stock data to predict future price trends
- Disease Diagnosis through Medical Data Analysis: Analyzing medical images such as X-rays and CT scans to determine the presence of diseases
In this way, supervised learning demonstrates high performance in problems with clear correct answers and is extensively utilized in actual industrial settings.
Source: Let's Play with Software
Conclusion
In this AKEO EDU article, we covered supervised learning.
Supervised learning is a powerful AI training method that learns based on data with correct answers, showing high accuracy in classification and prediction tasks.
- Disease diagnosis in medical care
- Credit assessment in finance
- Customer behavior prediction in marketing
Going forward, supervised learning will continue to play a key role in various fields where accurate prediction is important.