Dataconomy

MAY 8, 2017

Everyone has heard the old moniker garbage in – garbage out. It is a simple way of saying that machine learning is only as good as the data, algorithms, and human experience that goes into them. But even the best results can be thought of as garbage if no one. The post Big Data for Humans: The Importance of Data Visualization appeared first on Dataconomy.

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Explosion

MAY 9, 2017

As more and more people and companies are getting involved with open-source software, balancing the expectations of an open community and a traditional provider vs. consumer relationship is becoming increasingly difficult. Are maintainers becoming too authoritarian? Are users becoming too demanding? Are large companies selling out open-source?

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Ines Montani

MAY 9, 2017

As more and more people and companies are getting involved with open-source software, balancing the expectations of an open community and a traditional provider vs. consumer relationship is becoming increasingly difficult. Are maintainers becoming too authoritarian? Are users becoming too demanding? Are large companies selling out open-source? In this post I’ll share some lessons we’ve learned from running spaCy , the popular and fast-growing library for Natural Language Processing in Python.

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Dataconomy

MAY 10, 2017

The rise of the data scientists continues and social media is filled with success stories – but what about those who fail? There are no cover articles praising the failures of the many data scientists that don’t live up to the hype and don’t meet the needs of their stakeholders. The post Three Mistakes that Set Data Scientists up for Failure appeared first on Dataconomy.

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

AI

Dataconomy

MAY 12, 2017

The digital age is characterised increasingly by the collective. The centralised database is being superseded by the blockchain; expert opinion yields ever more to the insights of the crowd. The information generated by tapping into the minds of many is driving decisions in both the public and private sector; market. The post Data Mining for Social Intelligence – Opinion data as a monetizable resource appeared first on Dataconomy.

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