Unsupervised Learning

Unsupervised Learning

Assessment

Interactive Video

Information Technology (IT), Architecture

11th Grade - University

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

The video introduces unsupervised learning, contrasting it with supervised learning. It explains unsupervised clustering using examples like flowers and details the K-means clustering algorithm. The concept of representation learning is introduced, highlighting its role in AI. The video also discusses autoencoders and the potential of unsupervised learning in AI development.

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4 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

How can we utilize freely available data in unsupervised learning?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

What did the master gardener confirm about the types of irises identified by the AI?

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

Explain the concept of autoencoders in the context of unsupervised learning.

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

What challenges do AI systems face in performing unsupervised learning like humans?

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