When it comes to machine learning, there are some broad concepts and terms that everyone in search should know. We should all know where machine learning is used, and the different types of machine learning that exist.
Read on to gain a better grasp of how machine learning impacts search, what the search engines are doing and how to recognize machine learning at work. Let’s start with a few definitions. Then we’ll get into machine learning algorithms and models.
Machine learning terms
What follows are definitions of some important machine learning terms, most of which will be discussed at some point in the article. This is not intended to be a comprehensive glossary of every machine learning term. If you want that, Google provides a good one here.
- Algorithm: A mathematical process run on data to produce an output. There are different types of algorithms for different machine learning problems.
- Artificial Intelligence (AI): A field of computer science focused on equipping computers with skills or abilities that replicate or are inspired by human intelligence.
- Corpus: A collection of written text. Usually organized in some way.
- Entity: A thing or concept that is unique, singular, well-defined and distinguishable. You can loosely think of it as a noun, though it’s a bit broader than that. A specific hue of red would be an entity. Is it unique and singular in that nothing else is exactly like it, it is well defined (think hex code) and it is distinguishable in that you...
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