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Blog on Machine Learning, Statistics & Software Development

Datumbox blog focuses on Machine Learning, Statistics, Artificial Intelligence and their applications on Software Development and Online Marketing.

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Blog on Machine Learning, Statistics & Software Development | blog.datumbox.com Reviews

https://blog.datumbox.com

Datumbox blog focuses on Machine Learning, Statistics, Artificial Intelligence and their applications on Software Development and Online Marketing.

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1

How To Install And Use The Datumbox Machine Learning Framework | Datumbox

http://blog.datumbox.com/how-to-install-and-use-the-datumbox-machine-learning-framework

Machine Learning Blog and Software Development News. How to install and use the Datumbox Machine Learning Framework. November 9, 2014. Machine Learning and Statistics. In this guide we are going to discuss how to install and use the Datumbox Machine Learning framework. Step 1: Ensure you have Maven 3 installed. Before using the framework you will need to make sure that Maven 3 is installed on your system. To validate this open up a console/terminal and type the following:. Apache Maven 3.2.1 (ea8...The f...

2

Measuring The Social Media Popularity Of Pages With DEA In JAVA | Datumbox

http://blog.datumbox.com/measuring-the-social-media-popularity-of-pages-with-dea-in-java

Machine Learning Blog and Software Development News. Measuring the Social Media Popularity of Pages with DEA in JAVA. March 3, 2014. Machine Learning and Statistics. In the previous article we have discussed about the Data Envelopment Analysis. Update: The Datumbox Machine Learning Framework is now open-source and free to download. Check out the package com.datumbox.framework.algorithms.dea to see the implementation of Data Envelopment Analysis in Java. Data Envelopment Analysis implementation in JAVA.

3

New Open-source Machine Learning Framework Written In Java | Datumbox

http://blog.datumbox.com/new-open-source-machine-learning-framework-written-in-java

Machine Learning Blog and Software Development News. New open-source Machine Learning Framework written in Java. October 19, 2014. Machine Learning and Statistics. I am happy to announce that the Datumbox Machine Learning Framework is now open sourced under GPL 3.0 and you can download its code from Github. What is this Framework? The Datumbox Machine Learning Framework. What types of models/algorithms are supported? Datumbox Framework VS Mahout VS Scikit-Learn. How stable is it? The honest answer is tha...

4

How To Build Your Own Facebook Sentiment Analysis Tool | Datumbox

http://blog.datumbox.com/how-to-build-your-own-facebook-sentiment-analysis-tool

Machine Learning Blog and Software Development News. How to build your own Facebook Sentiment Analysis Tool. February 3, 2014. Machine Learning and Statistics. In this article we will discuss how you can build easily a simple Facebook Sentiment Analysis tool capable of classifying public posts (both from users and from pages) as positive, negative and neutral. We are going to use Facebook’s Graph API Search and the Datumbox API 1.0v. Similar to the Twitter Sentiment Analysis tool. And the Max Entropy.

5

Clustering Documents And Gaussian Data With Dirichlet Process Mixture Models | Datumbox

http://blog.datumbox.com/clustering-documents-and-gaussian-data-with-dirichlet-process-mixture-models

Machine Learning Blog and Software Development News. Clustering documents and gaussian data with Dirichlet Process Mixture Models. June 30, 2014. Machine Learning and Statistics. This article is the fifth part of the tutorial on Clustering with DPMM. Update: The Datumbox Machine Learning Framework is now open-source and free to download. Check out the package com.datumbox.framework.machinelearning.clustering to see the implementation of Dirichlet Process Mixture Models in Java. As we can see above, the p...

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Datumbox Machine Learning Framework | Datumbox

http://www.datumbox.com/machine-learning-framework

Datumbox Machine Learning Framework. The Datumbox Machine Learning Framework is an open-source framework written in Java which allows the rapid development of Machine Learning and Statistical applications. The main focus of the framework is to include a large number of machine learning algorithms and statistical tests and be able to handle large sized datasets. The code of the Machine Learning Framework can be found on Github. What methods/algorithms are supported? Email: info [at] datumbox.com.

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Machine Learning API: a Powerful & Easy solution | Datumbox

http://www.datumbox.com/machine-learning-api

Our API is powered up by the Datumbox Machine Learning Framework. It currently offers 14 different functions as part of our Machine Learning platform. All of the following functions use several sophisticated classification techniques and they are accessible via our REST API. To call any of our functions, just sign up for an API key and follow the guidelines as described on the Technical Details. The Topic Classification function assigns documents in 12 thematic categories based on their keywords, idioms ...

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Machine Learning FAQ - Service Help | Datumbox

http://www.datumbox.com/faq

What is Machine Learning? Machine learning is a branch of Artificial Intelligence which focuses on the construction and study of systems that can learn from data. It is the science of getting computers to act without being explicitly programmed. In a way, Machine Learning enables computers to learn and act based on their knowledge. Where Machine Learning is used? How Machine Learning works? Why use Machine Learning? Machine Learning allows us to create smart and cool applications! Datumbox has developed ...

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Blog on Machine Learning, Statistics & Software Development

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