Tag Archives: danko nikolic

Who cares if unsupervised machine learning is supervised learning in disguise?

January 11, 2018

Previously, we saw how unsupervised learning actually has built-in supervision, albeit hidden from the user. In this post we will see how supervised and unsupervised learning algorithms share more in common than the textbooks would suggest. As a matter of fact, both classes can use identical equations for creating mathematical models of the data, and… Read More »

Supervised learning in disguise: the truth about unsupervised learning

December 12, 2017

One of the first lessons you’ll receive in machine learning is that there are two broad categories: supervised and unsupervised learning. Supervised learning is usually explained as the one to which you provide the correct answers, training data, and the machine learns the patterns to apply to new data. Unsupervised learning is (apparently) where the… Read More »

Is the Turing test still relevant? How about Turing time?

November 14, 2017

If you’ve found your way to this blog, I have no doubt you’re aware of Alan Turing. In 1950, the father of modern computer science created a test designed to determine a machine’s ability to exhibit intelligent behaviour equivalent to, or indistinguishable from, that of a human. Turing described his test as “The Imitation Game”… Read More »