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, ...

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 ...

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 ...

There is no doubt of the importance of data powering the most advanced applications in use today, and especially artificial intelligence and machine learning applications that are so dependent on good ...

Clustering non-numeric -- or categorial -- data is surprisingly difficult, but it's explained here by resident data scientist Dr. James McCaffrey of Microsoft Research, who provides all the code you ...

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 ...

Quantitative and qualitative data research are fundamental methodologies for marketers seeking to understand consumer behavior, preferences and trends. Each approach offers unique insights, and ...