Machine Learning
What happens if we are not good teachers for our robot and teach it the wrong things? (For example, show it a picture of a fish and say it's trash)
Correct answer: Robots also repeat our mistakes.
Robots don’t have the power to think for themselves and don’t know what is right or wrong. It’s us who teach them what to do. So if we are not good teachers, the robot will repeat our mistakes too.
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Actually, the process that our robot performed is called data-driven learning, or more scientifically, Machine Learning.🤖
Machine Learning is nothing but building a mathematical model that learns patterns from data and can predict or make decisions when faced with new data.
So, what is a mathematical model? It's exactly like the brain of our robot! Because all the thinking, decision-making, predicting, and learning of the robot happens through this model. Why do we call it the "brain"?
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Because just like the human brain learns from experiences, the model is trained with data.
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Because just like the human brain recognizes patterns, the model learns the shape of data and identifies patterns.
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Because just like the human brain makes decisions, the model also makes decisions and predictions.
That's why we say "the model is the brain of our robot."
So, with the help of machine learning, we were able to teach a robot that can go into the ocean, recognize trash from fish, separate them, and clean the ocean.
Our robot did all this with its brain! By the way, do you know what the name of our robot’s brain was? 🌊🐳🐙