What is Machine Learning?

Machine Learning is a type of AI for how a computer organizes data, often for a next step in AI to process this data. It is described as how a computer predicts how data is to be organized. Data is retrieved through sensors, like cameras, OCR, the Internet, from existing file documents, and/or other means to be processed by AI. This data retrieval can be and often is automated.

There are 3 types of Machine Learning, which 2 types are structured, and one is unstructured. One type of structured Machine Learning organizes data through category. Categories are preset to user specifications, and Machine Learning AI will place data into categories as best as it can according to an algorithm. The other type of structured Machine Learning is numerical, as data will be placed into a numerical value according to an algorithm, as opposed to a limited set of categories. Then, there's unstructured Machine Learning, which a computer plots data, with no expectation of presets.

Within these types of Machine Learnings, there's different types with different algorithms. Machine Learning isn't expected to be correct all the time, and for this, there's Machine Learnings which give the probability in percentages of how correct each answer may be.
 
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