What is Machine Learning?
For the supervised category, machine learning requires a data analyst or a data scientist with proper ML experience. The data scientist or data analyst basically provides an input and output. Also, algorithm training is required for ML to assure that it is making proper predictions.
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.