Machine Learning
Last updated
Last updated
Collection of algorithms and statistical models (methods) for machines to carry out automated tasks based on the observation of inputs and/or outputs of a process.
The goal of machine learning is to produce an estimation or a classification given a set of input values.
We often distinguish:
ML method: the mechanism to train a model (neural network, support vector machine, etc).
ML model: an instance of the method trained to replicate the behavior of the target process.
The model is trained with a dataset of the target process.
When trained for a classification task, the historical dataset should contain the Ground Truth - the actual class of a given sample.
Classification or regression does not depend on prior knowledge.
