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 ...

Artificial intelligence has developed rapidly in recent years, with tech companies investing billions of dollars in data centers to help train and run AI models. The expansion of data centers has ...

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 ...

ABERDEEN PROVING GROUND, Md. – A new safety training course is on the horizon for employees who are responsible for maneuvering large military vehicles at the U.S. Army Aberdeen Test Center. The ...

In this tutorial, we demonstrate the integration of Python’s robust data manipulation library Pandas with Google Cloud’s advanced generative capabilities through the google.generativeai package and ...

In this tutorial, we will guide you through building an advanced financial data reporting tool on Google Colab by combining multiple Python libraries. You’ll learn how to scrape live financial data ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Thanks to the plummeting costs of continuously evolving omics analytical platforms, ...

Have you ever stared at a massive spreadsheet or database, feeling overwhelmed and unsure where to even begin? In today’s data-driven world, making sense of raw information can feel like an uphill ...

Data analysis languages like Numpy, MATLAB, R, IDL, ADL, and Julia are primarily interactive, using an array-at-a-time interface. Instead of conducting an entire analysis in a single loop, each ...