Unsupervised Learning

Unsupervised Learning

Assessment

Interactive Video

Information Technology (IT), Architecture

11th Grade - University

Hard

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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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