Introducing machine learning to kids isn’t as difficult as you think. Children can work miracles; Many surveys and statistics show that the age of 5-15 is the best time in their entire life for anyone to store as much data as possible in their brains, but the very idea of automatically presenting complex topics such as artificial intelligence and learning to them can be be very scary. But don’t worry, we’re here to help you bring your kids into the world of ML.
Machine learning is definitely not as easy as teaching rhyme, but we can make it fun. “Rome wasn’t built in a day” so don’t dive deep into topics like robots or automation. Starting with the lowest level, the scratch, start with an example of a toy car. Start by explaining how things like steering, transmission and clutch work with certain mechanisms in the car, and now introduce the car that you see as a “machine” every day.
In simpler terms, the definition of a machine would be: a device that performs a physical task with specific commands; some machines allow communication like a telephone; others transport people from one place to another like a car; others print documents like the Computer. Other machines even talk to us and do assigned tasks like a robot. All of these are nothing more than machines. In the beginning, instead of rushing, let’s take small steps. Now let’s start with the basic definition of machine learning.
Machine Learning
In machine learning, these simple machines, like a car, a robot, and so on, have access to user information called “data” that machines use to learn to function on their own. In other words, it is simply getting a computer to perform a specific task.
What Does It Do?
After learning about machines and machine learning through live examples, the child will now be able to understand the basics of ML. Now is the time to start what you are really doing. Start with the basics like “ML is used for supervised learning with adequate response / feedback. Playing is supervised learning. Follow the rules of the game, follow them, and then better check your performance the next time you play. Explain that ML does just that: take input and try to improve with the right feedback.
Cite Some Examples
Now show them live examples, let them interpret the uses and applications of ML.
Smart Cars:
Smart cars recognize the environment around them, when they see an object or a wall or an obstacle, they automatically take a step back, now that’s what happened because the car was taught to react like that, commands were given and such. It was given commands and this itself summarizes machine learning.
YouTube Recommendations
If your child is watching Five Minutes Crafts videos on YouTube, the following recommendations are related to arts, crafts, and tricks. Explain that this filtering process is also done through the machine learning mechanism to determine what to watch next and what to automatically play next.
Machine Learning as a Career
After such wonderful, lively, but clear and simple demonstrations, any child would find the concept of ML very interesting. When your baby is around 12-15 years old, try introducing them to the world of ML. Tell them about the possibilities and the hardship in the world of such amazing geniuses in ML.
