Machine Learning: Definition, Explanation, and Examples Yes, we’re losing some information about the specific shepherds, but the new abstraction is much more useful for naming and explaining purposes. As a bonus, such “abstracted” models learn faster, overfit less and use a lower number of features. Begin with simple projects – analyze datasets from Kaggle, implement […]