Machine Learning: Supervised versus Unsupervised - what's the difference?
Unsupervised learning is an algorithmic way to implement "birds of a feather flock together."
To do supervised learning, you supply the right answers. Not so with unsupervised learning...
Learn more:
Supervised - http://bit.ly/quaesita_supervised
Unsupervised - http://bit.ly/quaesita_unsupervised
Apophenia - http://bit.ly/quaesita_inkblot
Note: Although some folks insist on making semantic distinctions between clustering and other breeds of unsupervised learning, they all use similarity to shuffle your data. For example, anomaly detection methods reveal outliers by asking, "What's left over when the similar things have been grouped?" After all, to reveal the dissimilar, you must first group the similar.
On this page of the site you can watch the video online Machine Learning: Supervised versus Unsupervised - what's the difference? with a duration of 16 minute 40 second in good quality, which was uploaded by the user Cassie Kozyrkov 22 June 2020, share the link with friends and acquaintances, this video has already been watched 12,471 times on youtube and it was liked by like viewers. Enjoy your viewing!
