Working with non-numerical data can be tough, even for experienced data scientists. A typical machine learning model expects its features to be numbers, not words, emails, website pages, lists, graphs ...

Word embeddings are directly responsible for many of the exponential advancements natural language technologies have made over the past couple years. They’re foundational to the functionality of ...

In this post, I’ll show you how to use beginner-friendly ML tools – Semantic Reactor and TensorFlow.js – to build an app that’s powered by natural language. NEW: Semantic Reactor has been officially ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...