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- Artificial Intelligence (AI) learns from data in a way that is similar to how humans learn from experience . First, AI is given a large amount of data, such as images , text , numbers , or sounds . This data helps the AI understand patterns and relationships.
AI uses machine learning algorithms to analyze the data . During training, the AI makes predictions and then checks if they are correct . If it makes a mistake, it adjusts its rules to improve next time . This process repeats many times until the AI becomes accurate and reliable .
There are different ways AI learns:
Supervised learning: learning with labeled data
Unsupervised learning: finding patterns without labels
Reinforcement learning: learning through rewards and penalties
Over time, AI becomes smarter and can make decisions, recognize speech , identify images , recommend content , and much more .
https://youtu.be/O_dJ9fxI5FMArtificial Intelligence (AI) learns from data in a way that is similar to how humans learn from experience 🧠📚. First, AI is given a large amount of data, such as images 🖼️, text 📝, numbers 🔢, or sounds 🎧. This data helps the AI understand patterns and relationships. AI uses machine learning algorithms to analyze the data 🔍. During training, the AI makes predictions and then checks if they are correct ✅❌. If it makes a mistake, it adjusts its rules to improve next time 🔄. This process repeats many times until the AI becomes accurate and reliable 🎯. There are different ways AI learns: Supervised learning: learning with labeled data 🏷️ Unsupervised learning: finding patterns without labels 🧩 Reinforcement learning: learning through rewards and penalties 🏆⚠️ Over time, AI becomes smarter and can make decisions, recognize speech 🗣️, identify images 👁️, recommend content 📲, and much more 🚀. https://youtu.be/O_dJ9fxI5FM
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