Category Archives: Machine Learning

Introduction to Correspondence Analysis

In this blog I will introduce the Correspondence Analysis – a visualisation technique for categorical data. All the code has been compiled in my github repository. Correspondence Analysis (CA) has been around for a very long time. It was first … Continue reading

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Hidden Technical Debt of Machine Learning – Play Now Pay Later

Last week I was lucky enough to attend the Strata Conference London 2017 for one day. The venue and the event are impressive in scale, participants and content. The quality of tutorials and talks, in general, was very good, and … Continue reading

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(Jan-17) Did You Know That?

A brand new idea for my blog in 2017 is a monthly Did You Know That digest where I am going to share with you m things (where m<=3) that I recently learnt and found to be useful. I am … Continue reading

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Data Analytics Models in Quantitative Finance and Risk Management

Sharing a KDNuggets article on some examples of how PCA, Monte Carlo and linear regression are used in quantitative finance and risk management: Source: Data Analytics Models in Quantitative Finance and Risk Management

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Going from Sum of Squared Errors to the Maximum Likelihood

Greetings, my blog readers! In this post I will tackle the link between the cost function and the maximum likelihood hypothesis. The idea for this post came to me when I was reading Python Machine Learning by Sebastian Raschka; the … Continue reading

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