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 a branch of Artificial Intelligence (AI) that aims to build systems able to learn on their own from a data set, without explicit programming.