Learn what overfitting is, how it impacts data models, and effective strategies to prevent it, such as cross-validation and simplification.

Traditional cloud architectures are buckling under the weight of generative AI. To move from pilots to production, ...

At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra Semantic intelligence is a critical element of actually understanding what data means and how it can be used. Microsoft is now deeply ...

In recent years, JupyterLab has rapidly become the tool of choice for data scientists, machine learning (ML) practitioners, and analysts worldwide. This powerful, web-based integrated development ...

In today’s data-driven business landscape, the ability to transform raw information into actionable insights is crucial. Microsoft Power BI has emerged as a leading tool in this domain, using ...

Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

For years, the artificial intelligence industry has followed a simple, brutal rule: bigger is better. We trained models on ...

Molmo 2 is an 8B-parameter model that surpasses the 72B-parameter Molmo in accuracy, temporal understanding, and pixel-level ...