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.
Text analysis tools offer a multitude of benefits, but how do they work? We look at types of AI text analysis, their use cases and how to get started.
Looking for an introduction to audio classification? In this article we discuss different types of audio classification and their use in machine learning projects.
Financial services firms are increasingly implementing AI to improve their CX. Learn how they’re using the technology to tackle the latest industry challenges.
To train NLP algorithms, large annotated text datasets are required. Learn more with a brief introduction to five common types of text annotation.
Take a look at why a global approach to NLP is so important for the future of machine learning in non-English languages.
Medical AI is changing healthcare, but how? In this article, we examine the benefits of healthcare chatbots for physicians, patients and administration.
Wondering which image annotation types best suit your project? In this article, we introduce five types of image annotation and their applications.
Looking to improve your search relevance? Here are five types of search evaluation services that can help you strengthen your search engine.
Working with crowdsourced data vendors unlocks access to an inexpensive, scalable workforce. In this post, we describe key benefits of crowdsourcing data.
Enrich your data with our range of human-annotation services at scale.
