Machine Learning – Supervised VS Unsupervised Learning
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Is associative learning, like Hebbian learning, supervised or unsupervised?
Awesome!
Thank you! Everyone else's explanations sucked until yours.
Waw good explaining
unsupervised learning is a real bitch, still can't get my head around it. Supervised is much better, simpler and enough for most scenarios.
Great
outstanding! it is exactly what I wanted to know…
Thank you! This is such a clear explanation!
This was really great. Thank you!
you did not do a good job explaining features. You first said its value, then category, then observation, then a block.
You didn't really give examples of unsupervised data. I do appreciate the context explaining tho
The idea of unsupervised learning could be explained with fruit. While we may not know categories that each belongs to, unsupervised learning will establish common characteristics between each, forming clusters. A common cluster for apples could be they are round and most are green, but only we can determine this.
The link below has an image at the end of the article that compares facial recognition for supervised and unsupervised learning:
https://dataconomy.com/2015/01/whats-the-difference-between-supervised-and-unsupervised-learning/
Extremely insightful in a little amount of time.
Thanks!
thanks for making