Unless you’re very good at ignoring both the news and social media, odds are you’ve heard a number of claims that the singularity is rapidly approaching, machines that are smarter, deadlier, and perhaps even sexier than us are coming and they are just years away from becoming reality.
While AI may be one of the biggest deals in science, technology, and popular culture today, it’s actually far from a new concept with the earliest ideas of artificial beings and human-like machines stretching back to ancient Greece.
Nevertheless, the application of increasingly intelligent machines to utilize the influx of…
K-means clustering is one of the oldest and most popular clustering methods. As an unsupervised machine learning algorithm, it’s perfect for data mining, or finding patterns in large amounts of unlabelled data. Lucky for us, k-means is easy to use and relatively accurate.
If you’re new to the wild world of artificial intelligence, then odds are you’ve come across a dizzying array of new terminology, insider jargon, and words specific to the field.
If this describes you, then you’re in luck. This AI glossary is a one-stop list of the most important terms to know in artificial intelligence, its sub-fields, core technologies, and related disciplines in a format that can be referred back to during those times you find yourself saying, “wait, what does this mean again?”
If you’re new to the world of AI and looking to dive head first into the exciting world of machines then I have some good news because there is a lot of information available!
Some of the world’s leading thinkers in the fields of machine learning, data, and computer science are actively writing about everything from the ethics of AI and our future alongside intelligent machines, to the cutting-edge breakthroughs and technologies that are making it all happen.