Machine Learning
Some benefits of ML include:
Classification – Programs classify data based on predetermined parameters.
Clustering – For data that doesn’t fit preset parameters, ML groups data based on their similarities or anomalies.
Recommendations — Programs learn from past choices, inputs and associations to recommend approaches and decisions.
Generative frameworks — Based on past data inputs, programs generate possibilities that can be applied to data that hadn’t encountered those specific inputs before.
Predictions — Programs forecast based on data sets and past outcomes.
