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 ...

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 ...

Data encoding and normalization is summarized in the table in Figure 2. For numeric x-data, I prefer Gaussian normalization over Min-Max normalization. For binary y-data, I prefer 1-of-C dummy-coding ...

This diagram illustrates how the team reduces quantum circuit complexity in machine learning using three encoding methods—variational, genetic, and matrix product state algorithms.

The final frontier for data preservation may well be DNA molecules – and the University of Washington and Microsoft Research are trying to make it so.