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Machine learning developers and their data
July 28, 2021
Machine learning developers and their data

The data science (DS), machine learning (ML), and artificial intelligence (AI) field is adapting and expanding. From the ubiquity of data science in driving business insights, to AI’s facial recognition and autonomous vehicles, data is fast becoming the currency of this century. This post will help you to learn more about this data and the profile of the developers who work with it.

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Where do ML developers run their code?
June 08, 2020
Where do ML developers run their code?

In this blog post we’ll explore where ML developers run their app or project’s code, and how it differs based on how they are involved in machine learning/AI, what they’re using it for, as well as which algorithms and frameworks they’re using.

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artificial intelligence
February 17, 2016
The Significance of AlphaGo: Has a golden age for artificial intelligence just dawned?

In recent years artificial intelligence (AI) has returned to the forefront of technological debate. That debate has moved on from when, and even whether, computers will ever display intelligent behaviour to how smart they will get, how quickly, and what the implications are for society. Although there are multiple approaches to creating AIs, the ones that involve machine learning from large datasets are generally outperforming all others.

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