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.
Take a look at why a global approach to NLP is so important for the future of machine learning in non-English languages.
To train NLP algorithms, large annotated text datasets are required. Learn more with a brief introduction to five common types of text annotation.
The article introduces 10 open datasets for linear regression tasks and includes medical data, real estate data and stock exchange data.
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.
Take an in-depth look at one particular use case of natural language processing that is founnd in many people’s daily lives: voice assistants.
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.
While the pace of AI innovation is quick, it is not without obstacles. Navigate around impediments with insights from this article.
Enrich your data with our range of human-annotation services at scale.
