What Is Unsupervised learning?

Unsupervised learning is a type of machine learning that involves training a model using unlabeled data. It is a form of regression that uses unlabeled data to train a model.

Unsupervised learning is a common practice in machine learning and data science. It is used to train a model using unlabeled data.

The process involves fitting a model to the data and then using the model to make predictions. The model is typically a mathematical function that describes the relationship between the variables in the dataset. The model is fitted to the data by estimating the parameters of the model using statistical methods.

Unsupervised learning can be used to solve clustering and dimensionality reduction problems. Clustering problems involve grouping similar data points together, while dimensionality reduction problems involve reducing the number of features in a dataset.

See also

TradingStrategy.ai operated by Trading Strategy Operations Ltd., Victoria, Mahe, Seychelles.