Data Science Articles

Deep Learning
Artificial IntelligenceData ScienceMachine Learning

Deep learning is a subfield of machine learning and it comprises several approaches to tackling the single most important goal of AI research: allowing computers to model our world well enough to exhibit something like what we humans call intelligence. On a basic conceptual level, deep learning approaches share a

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Machine Learning
Data ScienceMachine Learning

Whilst most businesses don’t earn revenue by processing data, they do spend a large amount of their hard earned revenue in manually processing data, validating it and ultimately performing manual tasks that don’t scale. But at what point does this manual involvement become a burden of cost upon your business?

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Big DataData ScienceHealthcare

Big data sets are so complex and large that common data processing tools and technologies cannot cope with them. The process of inspection of such data and uncovering patterns is called big data analytics. The basic question which arises in our mind is, “In what way is the drug discovery

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Artificial IntelligenceBI & AnalyticsEvents

This article is part of a media partnership with Data Analytics and Behavioural Science Applied to Retail and Consumer Markets conference, an event featuring high quality case studies, networking sessions and discussions full of insights on the Retail and Consumer Markets. It takes place June 28 at Millennium Hotel Mayfair, London. To learn more

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data cloud
Big Data

The amount of data that businesses create continues to grow; at the same time, more of it is slipping out of our central data centres and into a mix of Cloud applications, mobile endpoints and remote or branch office file servers. But how can companies keep track of all this

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Data ScienceMachine Learning

This article is part of a media partnership with PyData Berlin, a group helping support open-source data science libraries and tools. To learn more about this topic, please consider attending our fourth annual PyData Berlin conference on June 30-July 2, 2017. Matti Lyra and other experts will be giving talks

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