In this context, the term Big Data Analytics describes the process of applying serious computing power – the latest in machine learning and artificial intelligence – to massive and highly complex sets ...

but they are still inadequate for some high-throughput data sets. For most users, a key challenge is to benefit from the deluge of data without being overwhelmed by it. This challenge is still ...

Any data that does not fall into the traditional field structure (alpha, numeric, dates) of a relational DBMS. Examples of complex data types are bills of materials, word processing documents ...

Data science prepares you for careers that explore patterns in large data sets and identify potential trends and insights. The program teaches skills in programing, modeling, machine learning, data ...

In data science, theory informs practice, while application drives change. At Bucknell, you're given the opportunity to dig deep into some of the most long-standing and complex data science topics in ...

Data Science is a specialised team working within the Technology department at the Royal Society of Chemistry. As experts in web analytics, statistics, cheminformatics, machine learning, text ...

Understanding mean, median, mode and range is essential to be able to compare sets of data. Watch the video to hear Steph, a sports coach, talk about why collecting and comparing data is useful ...