Machine Learning or automatic learning is a scientific field, 

and more specifically a subcategory of artificial intelligence.

It consists of letting algorithms discover “patterns”, namely

recurring patterns, in data sets. This data can be numbers, words,

images, statistics...

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Anything that can be stored digitally can serve as data for Machine Learning.

By detecting patterns in this data, algorithms learn and improve their

performance in performing a specific task.

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types of ML :

-Supervised Learning

-Unsupervised Learning

-Reinforcement Learning

General equation:

input + rules = output (input is put through the rules returning 

some form of output)

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Normal programming:

input + rules = ? (output, but depends on input and/or rules)

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Machine learning:

input + ? = output (program makes rules based on input and 

expected output)

Machine learning (ML) is a subfield of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input to predict new output values.