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Turing Finance | May 28, 2017

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Neural Networks

This category contains all articles relating to Neural Networks and their applications in Trading, Quantitative Finance, and Economics

Dimensionality Reduction Techniques

October 27, 2014 | | 14 Comments

The curse of dimensionality is the phenomena whereby an increase in the dimensionality of a data set results in exponentially more data being required to produce a representative sample of that data set. To combat the curse of dimensionality, numerous linear and non-linear dimensionality reduction ... Read More

Computational Finance at IEEE WCCI 2014

July 27, 2014 | | 3 Comments

I recently had the awesome opportunity to present my honours research at this years IEEE World Congress for Computational Intelligence conference (IEEE-WCCI) in Beijing. My trip was sponsored by the University of Pretoria's Computational Intelligence Research Group (CIRG) so ... Read More

Regression analysis using Python

June 7, 2014 | | 16 Comments

This tutorial covers regression analysis using the Python StatsModels package with Quandl integration. For motivational purposes, here is what we are working towards: a regression analysis program which receives multiple data-set names from, automatically downloads the data, analyses it, and plots the results ... Read More

10 misconceptions about Neural Networks

May 8, 2014 | | 51 Comments

Neural networks are one of the most popular and powerful classes of machine learning algorithms. In quantitative finance neural networks are often used for time-series forecasting, constructing proprietary indicators, algorithmic trading, securities classification and credit risk modelling. They ... Read More

Computational Decision Making Methods

February 13, 2014 | | One Comment

Artificial intelligence is broadly defined as the ability of an agent or a model to make either optimal or satisficing decisions. Decision-making in this context is a process which culminates in the selection of a particular course of ... Read More

BRICs Economic Forecasting using Neural Networks

September 18, 2013 | | 5 Comments

This weekend I finished an interesting research assignment in which I used five computational techniques to train artificial neural networks to forecast the 2011 GDP growth rates for Brazil, Russia, India, China, and South Africa (BRICS nations). The ... Read More