Tag

classification

Managing Data Sources in Machine Learning

From Graph-Powered Machine Learning by Alessandro Negro

This article discusses managing data in graph-powered machine learning projects.

Creating a Bipartite Graph for a User-Item Dataset

By Graph-Powered Machine Learning Alessandro Negro

This article discusses creating a bigraph for a user-item dataset.

Case Study: Breast Cancer Diagnosis

From Ensemble Methods for Machine Learning by Gautam Kunapuli

Our first case study explores a medical decision-making task: breast cancer diagnosis. We will see how to use scikit-learn’s homogeneous parallel ensemble modules in practice. Specifically, we will train and evaluate the performance of three homogeneous parallel algorithms, each characterized by increasing randomness: bagging with decision trees, random forests and ExtraTrees.

The need for classification

By Douglas G. McIlwraith, Haralambos Marmanis, and Dmitry Babenko
In this article, excerpted from Algorithms of the Intelligent Web, Second Edition , we will talk about how we use classification everywhere.

The need for classification (PDF)

The need for classification

By Douglas G. McIlwraith, Haralambos Marmanis, and Dmitry Babenko
In this article, excerpted from the book Algorithms of the Intelligent Web, we discuss classifications systems and their value for your applications.

The need for classification (PDF)

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