Dealing with categorical data is an essential part of data preprocessing in many machine learning tasks. Fortunately, encoding categorical data efficiently helps enhance the performance of machine ...

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 Data Science Lab Data Prep for Machine Learning: Encoding Dr. James McCaffrey of Microsoft Research uses a full code program and screenshots to explain how to programmatically encode categorical ...

In the late 1930s, Claude Shannon showed that by using switches that close for "true" and open for "false," it was possible to carry out logical operations by assigning the number 1 to "true" and 0 ...

XML has gained considerable popularity over the past few years as the solution to enterprise integration problems. It provides the means for exchanging data in a platform- and language-independent ...