Алгоритмы обучения — процедуры, которые позволяют модели или системе улучшать производительность на основе данных или опыта. Они определяют, как выявляются паттерны, обновляются параметры и уточняются прогнозы или решения с течением времени.
also known as data-driven algorithms, are algorithms that determine their own procedure for a given task using data that we provide on previous inputs and desired outputs. Learning algorithms take the data we provide as experience and learn a mapping from input to output, often under constraints that we define. They can then produce new outputs given future inputs. For example, a learning algorithm for making sourdough bread might take several recipes as input, along with information on whether or not each recipe is tasty, and learn which combinations of ingredients make good sourdough.