ELI5: machine-learning
// explanation
What is machine learning?
Machine learning is when computers learn to do things by looking at lots of examples, instead of someone telling them exactly what to do step-by-step [1][3]. It's like how you learned to recognize dogs by seeing many different dogs, rather than someone describing every detail of what makes a dog a dog.
Why does it work?
Computers are really good at finding patterns in huge amounts of information [5]. When you show a computer thousands of pictures of cats and dogs, it figures out the patterns that make each one different, so it can recognize new cats and dogs it's never seen before [1].
What can it do?
Machine learning helps computers make predictions and decisions, like suggesting what songs you might like, recognizing your face, or even helping doctors find diseases in medical pictures [4][5].
How is it different from regular programming?
Normal programs follow exact instructions you write for them [3]. Machine learning programs learn from examples and data instead, so they can handle situations you didn't specifically program them for [1].
// sources
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data
Google's fast-paced, practical introduction to machine learning, featuring a series of animated videos, interactive visualizations, and hands-on practice ...
Apr 21, 2021 ... Machine learning is a subfield of artificial intelligence that gives computers the ability to learn without explicitly being programmed.
Machine learning is the subset of artificial intelligence (AI) focused on algorithms that can “learn” the patterns of training data and, subsequently, make ...
6 days ago ... Machine learning is the process of using computers to detect patterns in massive datasets and then make predictions based on what the computer learns from ...
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