Machine Learning Models

#Terms

WHAT IS… ?

Machine learning models are mathematical functions that can be fitted to data in order to recognize patterns or predict outcomes. For example, a model could be trained to classify a cancer cell as malignant or benign, or it could be trained to perform Russian-to-English word translations. Models can been trained over a variety of data (discrete or continuous) and can predict numerical or categorical values.

HOW IS IT USED ?

Machine learning models are trained with many data points (often referred to as training examples). Training the machine learning model involves adjusting its parameters or weights so that its predictions on unseen data are consistent with the data used for training it.