What is Machine Learning?
Machine Learning uses statistical and predictive analysis. It was created so the AI could learn on its own without needing human intervention. Although, Machine Learning is in fact programmed using instructions from a user, it learns on its own based on pattern analysis. Machine Learning helps to continually update AI automatically. This helps significantly when things are constantly changing.
For this category, Machine Learning requires a data analyst or a data scientist with proper Machine Learning experience. The data scientist or data analyst basically provides input and output. Also, algorithm training is required for Machine Learning to assure that it is making proper predictions.
2. Unsupervised
For the unsupervised category, machine learning does not require any training with output. Machine Learning basically go through a process called deep learning. It sifts through data and creates conclusions related to the data. Neural networks are needed for complicated tasks unlike supervised learning such as natural language generation, and image recognition. These type of algorithms needs an excessive amount of data to learn to work properly and effectively.
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