Abstract: For many years, topological data analysis (TDA) and deep learning (DL) have been considered separate data analysis and representation learning approaches, which have nothing in common. The ...

Have you ever stared at a massive spreadsheet, unsure how to turn that sea of numbers into something meaningful? You’re not alone. Despite Excel being one of the most widely used tools in the world, ...

This article adopts a constructivist grounded theory approach based on the principle of intersubjective relations and the co-construction of interpretations. Reflecting on the author's experiences as ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

ABSTRACT: The main aim of this study was to assess how well the students who enrolled through the special entry request performed in the Bachelor of Arts and the Bachelor of Education programmes at an ...

What if you could transform the way you analyze data in just 12 minutes? Picture this: a mountain of raw numbers and spreadsheets that once felt overwhelming now becomes a treasure trove of actionable ...

Snowflake wants to reduce enterprises’ reliance on data engineers and data scientists for unstructured data analysis with its new SQL functions powered by generative AI. Snowflake is adding generative ...

After every major presidential and midterm election, the Democratic data firm Catalist releases a comprehensive analysis of the composition and partisan leanings of the electorate. What distinguishes ...

The analysis of multi-environment trials (MET) data in plant breeding and agricultural research is inherently challenging, with conventional ANOVA-based methods exhibiting limitations as the ...

I just wrapped up a chapter on AI in data analysis for my upcoming book, AI in Academic Research, which is set to be published in the next few weeks. Since this is such a crucial topic for researchers ...