Data science and machine learning are often associated with mathematics, statistics, algorithms and data wrangling. While these skills are core to the success of implementing machine learning in an ...

For data scientists, creating a perfect statistical model is all for naught if the compute power required is prohibitive. We need tools to assess the performance impacts of modeling alternatives Big ...

While the general advancement of enterprise software is often thought of as the marrying of software development and data stacks, a third consideration is essential to driving tangible advancement. It ...

It may be a stretch to call data science commonplace, but the question “what’s next” is often heard with regard to analytics. And then the conversation often turns straight to Artificial Intelligence ...

iRobot has used its new design, software, and data science strategies to expand into new areas, using an approach to the smart home that is different from its big tech rivals. This download provides ...

IT is undergoing a period of rapid change, as traditional on-premises data centres move from hosting siloed client/server applications on often-underutilised physical hardware to running cloud-native ...