Machine Learning Implementation using Java and Tribuo

First Tribuo Example—Wine Quality Classifier

Prerequisites: Introduction to Oracle Tribuo, knowledge of Java. As we saw in Introduction to Supervised Learning, one of the basic machine learning tasks is classification, where er need to map a set of inputs (usually referred to as ‘features’) into two or more categories (or ‘classes’). While typically data for such tasks needs to be collected and prepared, there are…

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Machine Learning Implementation using Java and Tribuo

Introduction to Oracle Tribuo

Prerequisites: Introduction to Supervised Learning, knowledge of Java. Oracle Tribuo is a Java based, open-source, general purpose machine learning library. It provides tools for various machine learning tasks, such as classification, regression and clustering, as well as natural language processing (NLP). In addition, Tribuo enables Java programs to use models that were trained by Python libraries, such as scikit-learn. Tribuo is…

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Genetic Algorithms, Machine Learning Basics

Enhancing Machine Learning Models using Genetic Algorithms with Python

In this post, you will learn about supervised machine learning, and find out how genetic algorithms can be used to improve the performance of machine learning models by selecting the best subset of features from the provided input data. Along the way, you will get acquainted with the real-life ‘Zoo’ dataset and discover how to utilize Python code to create a…

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