Editorial Note: We earn a commission from partner links on Forbes Advisor. Commissions do not affect our editors' opinions or evaluations. Data science certificate programs can help you enter or ...

So here you are, taking a course on data structures and algorithms. But what is a “data structure”? What is an “algorithm”? The textbook gives these definitions: “An algorithm is a recipe for ...

Using data in journalism is not new. But over the past decades, it has come a long way. In the 1960s, Philip Meyer began experimenting with the use of computers to process data for various projects at ...

Prerequisite: Introduction to R for Absolute Beginners or some experience using R. You’ve cleaned and analyzed your data, now learn how to visualize it. Visualizing data is critical for both ...

ABSTRACT: The recent pandemic crisis has highlighted the importance of the availability and management of health data to respond quickly and effectively to health emergencies, while respecting the ...

Abstract: Currently, the success of image processing relies heavily on large well-annotated datasets. However, collecting and labeling video data are significantly more labor-intensive, posing major ...

Abstract: Objective: Based on software engineering principles, we designed and implemented a medical device data dictionary system that aligns with data integration and industry standards to fulfill ...

Modeling complex physical dynamics is a fundamental task in science and engineering. Traditional physics-based models are first-principled, explainable, and sample-efficient. However, they often rely ...

ABSTRACT: Corporate distress signals are important for both institutions and banks when evaluating firms’ performances. This paper evaluates five different models in predicting the distress for listed ...