MACHINE LEARNING . noun . \ mə-ˈshēn \ ˈlər-niŋ
Machine Learning (ML) is a subset of artificial intelligence (AI) that enables computers to learn without explicit programming.
☆ ☆ ☆ ML is essentially just advanced statistics that computers can perform a gazillion times faster than human beings.
Using ML, a computer is able to improve its own performance by continuously incorporating new data into an existing statistical model.
Instead of giving the computer everything it needs to know to complete a task, ML allows the computer to figure it out for itself, using data to learn as it goes.
Of course, Machine Learning is more complex, with many different techniques to access and apply ML.
Here is a great visual that breaks down Classical Machine Learning even further:
And just in case that flow chart requires too much reading (we understand!), here is a visual that quickly differentiates between the three major types of Machine Learning:
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