Map: Learning Algorithms and Concepts of (Deep) Machine Learning
A map of the Learning Algorithms and key concepts in Machine Learning and Deep Learning, organized so you can get a clear overview of both fields.
Tag: Machine Learning
Expectation-Maximization in Python and Scikit-learn, with Examples
Expectation-maximization is a statistical clustering method similar to K-means, but with a probabilistic approach. Learn how it works with Python examples.
K-means in Python and Scikit-learn, with Examples
K-means is a clustering method that splits objects into K groups by minimizing inertia. Learn how it works and how to use it in Python with scikit-learn.
What Is Clustering?
Clustering is the task of grouping a set of unlabeled objects into subsets of objects called Clusters. Learn how it differs from classification.
What Is Machine Learning?
Machine Learning (ML) is the branch of Artificial Intelligence (AI) that builds systems that learn on their own from a data set, without being programmed.