Machine Learning
Machine learning is a technology where computers autonomously learn rules from data, driving AI development through various learning methods.
Machine Learning
AKEO EDU contributes to cultivating future digital leaders by addressing digital literacy and AI ethics through the Digital Literacy UP Project.
Hello, this is the AKEO EDU Editor🐊💚
In this article, we'll explore Machine Learning.
Machine learning is a technology that allows computers to learn on their own using data. Rather than humans directly inputting rules, it's a method where computers analyze data and discover rules on their own.
🤖 Concept and Application of Machine Learning
Machine learning is a technology that learns rules from data without human intervention.
- Traditional programs require humans to input clear conditions and rules to operate
- Machine learning enables computers to discover patterns and rules on their own based on numerous data
- Through this, it is utilized as a powerful tool for providing personalized services
Examples include video recommendations, product recommendations in online shopping malls, and curation functions in music streaming apps. The strength of machine learning is analyzing user preferences and behaviors to provide optimal results.
Source: Let's Play with Software
🧠 Various Machine Learning Methods
There are three major representative learning methods in machine learning:
-
Supervised Learning: Uses data with correct answers (labels) to train computers to predict or classify.
-
Unsupervised Learning: Discovers patterns or clusters on its own through data without given answers.
-
Reinforcement Learning: Learns optimal behavior through reward and penalty feedback while repeating trial and error.
In this way, various learning methods work in harmony to become the foundation for enhancing AI performance and creating more sophisticated results.
Source: Let's Play with Software
Conclusion
In this AKEO EDU article, we covered machine learning.
Machine learning is a technology where computers learn on their own through data and provide better personalized services to users.
Methods such as supervised learning, unsupervised learning, and reinforcement learning are key elements in the development of AI technology, and we can look forward to the positive changes that machine learning will bring to our lives in the future.