Responsible AISeven types of data bias in machine learning
Discover the seven most common types of data bias in machine learning to help you analyze and understand where it happens in order to avoid it.
AI Best PracticesWhat is human-in-the-loop machine learning?
Human-in-the-loop machine learning unites human and machine intelligence to create effective machine learning algorithms. Master the basics here.
Data Validation & RelevanceRetail & EcommerceWhat are search and recommendation systems in machine learning?
How do machine learning based search engines and recommendation systems work? Learn why both are important for the modern online shopping experience.
Data Validation & RelevanceWhat is search relevance?
A search engine should have both high precision and high recall. When you search for a product on an online store, you should expect the top five or 10 results to match what you’re looking for. Read on for the basics of search relevance.
AI TrendsWhat is the biggest hurdle for AI innovation?
In this article, we take a closer look at how a shortage of AI training data can affect tech innovation.
Data Validation & Relevance10 must-know terms and components for search engine development
Your search engine is often the first interaction a user has with your company. There are many factors that go into making that search engine find and rank results from thousands or even millions of pages in a matter of seconds. Discover ten must-know search engine terms and components.
Linguistic AnnotationWhat is natural language processing?
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.
AI Best PracticesWhat’s the difference between AI, machine learning and deep learning?
There are subtle differences between AI and its related fields: machine learning and deep learning. Let’s take a closer look at these terms.
Computer VisionWhat’s the difference between CNN and RNN?
Discover the difference between CNN and RNN and how they are used in computer vision and natural language processing.
Data CollectionHow much AI training data do you need?
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.
Linguistic AnnotationA beginner's guide to sentiment analysis
Sentiment analysis involves classifying the subjective, contextual information within text data. Read our beginner’s guide to learn more.
Data Validation & RelevanceThe importance of search relevance and how to improve it
Are you getting lots of site visitors, but not a lot of sales? Search relevance and improving the strength of your search engine may be the answer.
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