Posts Tagged

algorithms

Artificial IntelligenceBig DataData ScienceFeatured

A recent survey of over 225 enterprise Data Scientists, AI technologists and business stakeholders involved in active AI and machine learning (ML) projects, suggests that for most organizations, it’s still early days for AI technology.  The AI market is projected to become a $190 billion industry by 2025 ( according

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Artificial IntelligenceBI & AnalyticsData ScienceFeaturedinfographicsMachine LearningTopics

What algorithms do dating apps use to find your next match? How is your personal data impacting your decision to go on a date? How is AI affecting your dating life?  Find out below. Technology has changed the way we communicate, the way we move, and the way we consume

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BI & AnalyticsBlockchainContributorsData NativesFeaturedFinTechStartups

How to implement an Algo Order in Cybex Dex?Yes, this is one of the challenges for the second Blockchain Hackathon (part of LongHash Cryptocon Vol2) in Berlin on May 18-19 this year. More details here. As an advantage to all developers, Blockchain enthusiasts and Crypto geeks who are aching to

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Artificial IntelligenceData ScienceMachine Learning

It is no doubt that the sub-field of machine learning / artificial intelligence has increasingly gained more popularity in the past couple of years. As Big Data is the hottest trend in the tech industry at the moment, machine learning is incredibly powerful to make predictions or calculated suggestions based

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Data ScienceTech TrendsTechnology & IT

The term AI (Artificial Intelligence) is being thrown around left and right these days. Many companies claim they have an AI play even when they don’t. But there’s another type of AI—an algorithmic approach to intelligence—that is smart and is emerging as the type of AI that IT organizations of

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Data 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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