What is machine learning?
Imagine that you have a child whom you teach to distinguish between apples and oranges. You show him a lot of pictures and say, "This is an apple 🍏, and this is an orange 🍊." After a while, the child himself begins to understand who is who.
Machine learning works in a similar way: we "show" the computer a lot of examples, and it learns to find patterns and draw conclusions.
How the learning process works
Data collection — the computer needs examples: photos, texts, numbers, or sound recordings.
Data processing — data cleaning and preparation.
Model training — the algorithm is looking for patterns.
Knowledge check — checking on new examples.
Use — the model is used in real tasks.
Real-life examples: how does it work?
YouTube and TikTok recommend videos.
Banks detect suspicious transactions.
Medicine finds diseases in images.
Smartphones recognize faces or voices.
Types of machine learning:
Training with a teacher
There are examples with correct answers.
Training without a teacher
The model itself looks for patterns.
Reinforcement training
Training by trial and error with rewards.
The main thing to understand
Machine learning is a way to teach a computer not strict rules, and exampleIt does not "know" the world as a human, but it can find patterns in huge amounts of data.
Total
Machine learning is already around us - in phones, banks, games, medicine. And it will become more and more important. If you want to go deeper, start with the basics of programming.
In the attachment Code you can take courses in Python and other languages, practice on practical tasks and consolidate your knowledge. Upon completion of the training, you will receive Certificate, which will be a great plus when applying for a job or adding skills to your resume. 🚀
And we also have an active Telegram channel, where we discuss cool ideas, share experiences and analyze tasks together — learning becomes not only useful, but also fun.