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Mathematica for prediction algorithms | Using Mathematica implementations of machine learning algorithms

Using Mathematica implementations of machine learning algorithms

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Mathematica for prediction algorithms | Using Mathematica implementations of machine learning algorithms | mathematicaforprediction.wordpress.com Reviews

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Using Mathematica implementations of machine learning algorithms

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Anton Antonov Antonov | Mathematica for prediction algorithms

https://mathematicaforprediction.wordpress.com/author/antononcube

Mathematica for prediction algorithms. Using Mathematica implementations of machine learning algorithms. Author Archives: Anton Antonov Antonov. Comparison of dimension reduction algorithms over mandala images generation. February 10, 2017. By Anton Antonov Antonov. This document discusses concrete algorithms for two different approaches of generation of mandala. Images, [ 1. Direct construction with graphics primitives, and use of machine learning algorithms. Question Code that generates a mandala.

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Classification of handwritten digits | Mathematica for prediction algorithms

https://mathematicaforprediction.wordpress.com/2013/08/26/classification-of-handwritten-digits

Mathematica for prediction algorithms. Using Mathematica implementations of machine learning algorithms. Classification of handwritten digits. August 26, 2013. By Anton Antonov Antonov. In this blog post I show some experiments with algorithmic recognition of images of handwritten digits. I followed the algorithm described in Chapter 10 of the book “Matrix Methods in Data Mining and Pattern Recognition” by Lars Elden. The algorithm described uses the so called thin Singular Value Decomposition (SVD).

3

Pareto principle adherence examples | Mathematica for prediction algorithms

https://mathematicaforprediction.wordpress.com/2016/11/17/pareto-principle-adherence-examples

Mathematica for prediction algorithms. Using Mathematica implementations of machine learning algorithms. Pareto principle adherence examples. November 17, 2016. By Anton Antonov Antonov. This post (document) is made to provide examples of the Pareto principle manifestation in different datasets. Is an interesting law that manifests in many contexts. It is also known as Pareto law, the law of significant few, the 80-20 rule. 80% of the land is owned by 20% of the population,. In order to test for the mani...

4

Mosaic plots for data visualization | Mathematica for prediction algorithms

https://mathematicaforprediction.wordpress.com/2014/03/17/mosaic-plots-for-data-visualization

Mathematica for prediction algorithms. Using Mathematica implementations of machine learning algorithms. Mosaic plots for data visualization. March 17, 2014. By Anton Antonov Antonov. This blog post has description and examples of using the function. Of the Mathematica package MosaicPlot.m. Provided by the project MathematicaForPrediction at GitHub. Also see the document “Mosaic plots for data visualization”. Hosted at MathematicaForPrediction at GitHub. The document also has. 8216;s options.). The data ...

5

Importance of variables investigation | Mathematica for prediction algorithms

https://mathematicaforprediction.wordpress.com/2016/01/11/importance-of-variables-investigation

Mathematica for prediction algorithms. Using Mathematica implementations of machine learning algorithms. Importance of variables investigation. January 11, 2016. By Anton Antonov Antonov. This blog post demonstrates a procedure for variable importance investigation of mixed categorical and numerical data. The procedure was used in a previous blog Classification and association rules for census income data. 1] It is implemented in the package VariableImportanceByClassifiers.m. Code in it.). Th column of t...

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numerics.io numerics.io

Tip Archives - Algorithms | Science | Code

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Numerics library for .Net. July 2, 2014. There is definitely as lot of fun in the new Mathematica 10 and the Cloud. Machine learning is so easy to apply, it’s stunning. At the same time, the magic does not make the output automatically true. A quick and simple test reveals some fun facts;. Great fun at the swimming pool". C'est plus beau quand c'est inutile". Stairs have no orientation". My daughter left early today". This black-box classification should have been amplified with at least some hints about...

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Mathematica Archives - Algorithms | Science | Code

http://numerics.io/tag/mathematica

Numerics library for .Net. Basic data analysis in Mathematica. July 20, 2014. Edgar Anderson’s iris data sample is well-known and is freely available on the web as well as through R-studio. We use this data sample here to show some basic techniques in Mathematica. We start by importing the iris data collection from the UCI repository. The properties of the data is as follows. And we combine this with the data into a dictionary. As well as in the form of a dataset. Or what the standard deviation is. Let&r...

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Mathematica for prediction algorithms | Using Mathematica implementations of machine learning algorithms

Mathematica for prediction algorithms. Using Mathematica implementations of machine learning algorithms. Text analysis of Trump tweets. November 21, 2016. By Anton Antonov Antonov. This post is to proclaim the MathematicaVsR at GitHub. Project “Text analysis of Trump tweets”. In which we compare Mathematica and R over text analyses of Twitter messages made by Donald Trump (and his staff) before the USA president elections in 2016. By David Robinson at VarianceExplained.org. The blog post [ 1. A dating we...

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