Natural language processing (NLP) is the term used to describe a machine’s ability to interpret and respond to language data. Learn why it is a key AI concept.
Do you know how to provide great customer experiences to the ‘everything customer’? Find out how to satisfy the next generation of consumers.
There are subtle differences between AI and its related fields: machine learning and deep learning. Let’s take a closer look at these terms.
Discover the difference between CNN and RNN and how they are used in computer vision and natural language processing.
It’s only logical to ask how much training data you need, but it can be a complicated question to answer. Let’s take a look at why.
Sentiment analysis involves classifying the subjective, contextual information within text data. Read our beginner’s guide to learn more.
Looking for an introduction to audio classification? In this article we discuss different types of audio classification and their use in machine learning projects.
This glossary defines general AI and machine learning terms.
Discover three critical ways human-annotated data improves map and navigation software.
Medical AI is changing healthcare, but how? In this article, we examine the benefits of healthcare chatbots for physicians, patients and administration.
Learn about product categorization (also known as product classification) and how it’s crucial to the eCommerce industry.
Learn what optical character recognition (OCR) is, what it’s used for and how OCR systems are trained.
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