Machine Learning
What is machine learning? How do machines learn? Watch the video below to find the answers to these questions 📚
What happens if we're not good teachers for our robot and teach it the wrong things? (For example, we show it a picture of a fish and say it's trash)
Correct answer: The robot repeats our mistakes too. A robot can't think on its own and doesn't know what's right and what's wrong. We're the ones who teach it what to do. So if we're not good teachers, the robot will repeat our mistakes.
Machine Learning and the Mathematical Model
Machine learning is nothing more than building a mathematical model that uses data to learn patterns and can make predictions or decisions when it faces new data. What is a mathematical model? The model is our robot's brain! Because all of the robot's thinking, decision-making, predicting, and learning happens through this model. Why do we call it a «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 also learns the shape of the 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 our robot's brain».
So with the help of machine learning, we were able to train a robot that can go into the ocean, tell trash apart from fish, separate them, and clean the ocean. Our robot did all of this with its brain! By the way, what was the name of our robot's brain? 🌊🐳🐙