Introduction
Do you know when you teach your dog to fetch the ball? In the start he doesn’t get what to do with this greeny thing you just randomly throw and he’s like: “What the hell should i do?”, but then you try another time, and another time, and another time… That’s exactly how machines learn. Come with me and i’ll show you how this process happens.
What exactly is Machine Learning?
That’s just a cool way to name the process that a machine learns to recognize patterns in data and start to make predictions without coding every single existing rule for this.
For example, imagine we wrote the following line of code:
if(animal == 'dog'){
bark();
}Instead of coding a rule for every single animal, like a cat will meow(), a bird will tweet(), etc… The machine will read the data, make predictions and find out by itself that a ‘cat meows’, a ‘bird tweets’, and so on…
Daily-life examples of Machine Learning usage
- Netflix’s shows recommendations
- Gmail Spam Filter
- Spotify’s playlist suggestions
- And so on…
Conclusion
Machine Learning isn’t magic. It’s just math + data. And you, what you want to teach them next?
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