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, ...

The facts of climate change are widely reported. NASA notes, for example, that with a two-degree-Celsius increase in global temperatures, as compared with a 1.5-degree-C increase, about 61 million ...

In most, if not all, studies we collect data to obtain information about an area of research in which we have an interest. For example, we might want to know the level of dental caries in our area. In ...

Clustering data is the process of grouping items so that items in a group (cluster) are similar and items in different groups are dissimilar. After data has been clustered, the results can be analyzed ...

Whether you work for a small mom-and-pop operation or belong to a giant, multinational firm, spreadsheets are likely to be an invaluable tool for your business. All companies manage various sorts of ...

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 ...

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 ...

Google has updated its review snippet structured data help documentation to recommend using dot separators in numerical review values over comma separators in numerical review values. Both dots and ...