Supervised Learning

The history of Machine Learning – dates back to the 17th century
Contrary to popular belief, the history of machine learning, which enables machines to learn tasks for which they are not specifically programmed, and train themselves in unfamiliar environments, goes back to the 17th century. Machine learning is a powerful tool for implementing artificial intelligence technologies. Because of its ability to

How Faulty Data Breaks Your Machine Learning Process
This article is part of a media partnership with PyData Berlin, a group helping support open-source data science libraries and tools. To learn more about this topic, please consider attending our fourth annual PyData Berlin conference on June 30-July 2, 2017. Miroslav Batchkarov and other experts will be giving talks

What’s The Difference Between Supervised and Unsupervised Learning?
Wiki Supervised Learning Definition Supervised learning is the Data mining task of inferring a function from labeled training data.The training data consist of a set of training examples. In supervised learning, each example is a pair consisting of an input object (typically a vector) and a desired output value (also called