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0 Commenti 0 condivisioni 365 Views - 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 π§ π. First, AI is given a large amount of data, such as images πΌοΈ, text π, numbers π’, or sounds π§. This data helps the AI understand patterns and relationships. AI uses machine learning algorithms to analyze the data π. During training, the AI makes predictions and then checks if they are correct β β. If it makes a mistake, it adjusts its rules to improve next time π. This process repeats many times until the AI becomes accurate and reliable π―. There are different ways AI learns: Supervised learning: learning with labeled data π·οΈ Unsupervised learning: finding patterns without labels 𧩠Reinforcement learning: learning through rewards and penalties πβ οΈ Over time, AI becomes smarter and can make decisions, recognize speech π£οΈ, identify images ποΈ, recommend content π², and much more π. https://youtu.be/O_dJ9fxI5FM
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