Posts Tagged

algorithms

Dataikucover
StickyData ScienceData Science 101Machine Learning

We hear the term “machine learning” a lot these days (usually in the context of predictive analysis and artificial intelligence), but machine learning has actually been a field of its own for several decades. Only recently have we been able to really take advantage of machine learning on a broad

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Data Science

Psychological research requires a lot of testing, and a lot of surveys. When relying on surveys, there is a necessary assumption that the subject can be trusted, and that they are answering factually rather than guessing or feeling. Much of the reporting around depression is based entirely on these surveys.

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Data Science 101

1. C4.5 What does it do? C4.5 constructs a classifier in the form of a decision tree. In order to do this, C4.5 is given a set of data representing things that are already classified. Wait, what’s a classifier? A classifier is a tool in data mining that takes a

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Big DataConversationsMachine Learning

I completed a PhD in signal processing at Cambridge developing models of user behaviour using brain data. After the PhD I joined Skimlinks as a data scientist, where I model online user behaviour and work on much larger datasets. My main role is implementing large-scale machine learning models processing terabytes

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Machine Learning

For the first time in hundreds of years, writing is set for an evolution. Certainly, throughout the past several centuries, how people write has changed. From etching on stone and metal tablets and quill pens to movable type and the art of the swipe, the instruments enabling humans to write

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similarity measure implementation python
Data Science

In a particular subset of the data science world, “similarity distance measures” has become somewhat of a buzz term. Like all buzz terms, it has invested parties- namely math & data mining practitioners- squabbling over what the precise definition should be. As a result, the term, involved concepts and their

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Data Quality Determines Decision Outcomes
Data Science

Big data does not change the relationship between data quality and decision outcomes.  It underscores it. The elegance of analytics systems and processes lies not in the gathering, storing and processing of data.  Today’s technology has made this relatively easy and common.  Rather it is in the integration and management

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An Algorithm for the Homeless
Data Science

Homelessness in developed countries is an issue with no winners. For homeless individuals, the constant insecurity can only serve to exacerbate problems that may have lead them into their situation in the first place. Of 2,500 homeless in the UK surveyed last year, 70% had one or more physical health

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