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Featured Blog Posts – July 2017 Archive (5)

Introducing User Behavioral Analysis in the Risk Process

Many years ago when I was entering the intelligence community, I attended a class in Virginia where the instructor opened the session with a test that I will never forget and that I have applied to almost every analytic task in my career. At the beginning of the class we were shown a ten-minute video of grand central station at rush hour with tens of thousands of people and were asked if we could find a single pickpocket in the crowd by the end of the video.  At the end of ten minutes no…
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Added by Andrew Marane on July 31, 2017 at 11:30am — No Comments

Capturing Low-Probability, High-Impact Events 'Black Swans' in Economic and Financial Models

Capturing Low-Probability, High-Impact Events 'Black Swans' in Economic and Financial Models

Jamilu Auwalu Adamu , Lecturer, Nigeria

Incorporation of Fat - Tailed Effects of the Underlying Assets Probability Distribution using Advanced Stressed Methods.



Capturing the effects of Low-Probability, High-Impact "Black Swans" in the existing stochastic and deterministic models is tremendously…

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Added by Jamilu Auwalu Adamu on July 31, 2017 at 8:30am — No Comments

Open sourcing 'spot the difference'

Capital One UK’s Data Science team has been focused on move from proprietary (paid-for) software to open source for some time now.

There are several key benefits to making this change. Open source software is prevalent in academia which makes it much easier for our new starters to hit the ground running, building models and analysing data on day one with the company (the switch has also been a terrific development opportunity for my team to learn new skills). Our team now has greater…

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Added by Dan Kellett on July 21, 2017 at 1:30am — No Comments

How to Detect if Numbers are Random or Not

In this article, you will learn some modern techniques to detect whether a sequence appears as random or not, whether it satisfies the central limit theorem (CLT) or not -- and what the limiting distribution is if CLT does not apply -- as well as some tricks to detect abnormalities. Detecting lack of randomness is also referred to as signal versus noise detection, or pattern recognition.

It leads to the exploration of time series with massive, large-scale (long term) auto-correlation…

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Added by Vincent Granville on July 10, 2017 at 12:00am — 6 Comments

Text Clustering : Get quick insights from Unstructured Data

In this two-part series, we will explore text clustering and how to get insights from unstructured data. It will be quite powerful and industrial strength. The first part will focus on the motivation. The second part will be about implementation.

This post is the first part of the two-part series on how to get insights from unstructured data using text clustering. We will build this in a very modular way so that it can be applied to any dataset. Moreover, we will also focus…

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Added by Vivek Kalyanarangan on July 5, 2017 at 9:30pm — No Comments

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