Image: garrykillian/Adobe Stock. Data modeling is the process through which we represent information system objects or entities and the connections between them. Such entities could be people ...

Training data needs to be homogeneous for robust modeling. Strict training data management is needed throughout the model-building process by controlling and mediating the influence of multiple ...

One of the most important steps in desiging a database is establishing the data model. Part one of a two-part article describes how to create a logical model.

The authors conclude that in order to accelerate AI/ML applications for EDA, a collaborative and coordinated approach is needed. A prerequisite for this approach is establishing the best process for ...

In practice, exploratory data analysis combines graphics and descriptive statistics. In a highly cited book chapter, Tukey uses R to explore the 1990s Vietnamese economy with histograms, kernel ...

The Covid-19 pandemic reminded us that everyday life is full of interdependencies. The data models and logic for tracking the progress of the pandemic, understanding its spread in the population ...

The model, known as s1, performs similarly to cutting-edge reasoning models, such as OpenAI’s o1 and DeepSeek’s R1, on tests measuring math and coding abilities.