The following diagram illustrates the categorization of ML:
Categorization of ML algorithms depends on the kind of experience they have during the learning process. We usually call the collection of examples a dataset. Some books also use the term data points. A dataset is basically a collection of data representing anything useful to the target system. It might include measurements of weather for periods of time, a list of prices for the stock of some company or companies, or any other set of data. While the dataset might be unprocessed or so-called raw, there are also datasets having additional information for each contained ...
