A topic that's often very confusing for beginners when using neural networks is data normalization and encoding. Because neural networks work internally with numeric data, binary data (such as sex, ...

Dr. James McCaffrey of Microsoft Research uses a full code sample and screenshots to demonstrate how to create a naive Bayes classification system when the predictor values are numeric, using the C# ...

The recently developed multiscale kernel of R. Opfer [Adv. Comput. Math., 25 (2006), pp. 357- 380] is applied to approximate numerical derivatives. The proposed method is truly mesh-free and can ...

Data assimilation lies at the heart of numerical weather prediction, enabling the integration of observational data with dynamic atmospheric models to produce more accurate initial conditions and ...

Microsoft Excel is spreadsheet data management software used by many small businesses for day-to-day operational tasks. Excel's convenient cell-based structure lets you input your business' inventory, ...

A two-week regional training course on obtaining site data and developing numerical simulations to characterize and assess processes relevant to bentonite barriers and near-field interactions was held ...