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, ...

Software development is increasingly automated. The existence of shortcuts, reference architectures, rapid application development environment design tools and configuration management accelerators ...

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

It seems like only yesterday we covered a project using QR codes to archive data on paper (OK, it was last Thursday), so here’s another way to do it, this time with a dedicated codec using the full ...

Encoding information in DNA has long seemed like a promising way to secure data for the long term, but so far it has required an expert touch. It turns out that you don’t need to be a scientist to ...

Understanding data encoding and normalization is an absolutely essential skill when working with neural networks. James McCaffrey walks you through what you need to know to get started. Dealing with ...