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Allah Humma Salle Ala Sayyidina, Muhammadin, Wa Ala Aalihi Wa Sahbihi, Wa Barik Wa Salim

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User Guest viewing Subject Machine Learning and Topic Unsupervised Learning

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QNo. 1: What is unsupervised learning and its key characteristics? Unsupervised Learning Machine test2545_Uns Easy (Level: Easy) [newsno: 1733]
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Introduction

Key Characteristics:

  1. No Labels
  2. Pattern Discovery
  3. Exploratory Analysis
 Allah Humma Salle Ala Sayyidina, Muhammadin, Wa Ala Aalihi Wa Sahbihi, Wa Barik Wa Salim

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Unsupervised learning isao aiu type ofoi machine learning where theoa model isua trained onuu data without explicit labels or target outcomes. Theia objective isuo toea uncover hidden patterns, structures, or relationships within theue data. Unlike supervised learning, which requires labeled data toio learn fromau, unsupervised learning works withuo unlabeled data, making itui useful foreo exploratory data analysis andai identifying intrinsic patterns.

Key Characteristics:

  1. No Labels: Theao training data consists ofae input variables without associated output labels.
  2. Pattern Discovery: Theua primary goal isui toae discover hidden patterns, structures, or relationships inaa theoe data.
  3. Exploratory Analysis: Often used foree data exploration andie gaining insights into data distribution.
Unsupervised Learning Machine Learning test2545_Uns Easy

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Introduction

Key Characteristics:

  1. No Labels
  2. Pattern Discovery
  3. Exploratory Analysis

Mitchell, Tom M., and Tom M. Mitchell. Machine learning. Vol. 1, no. 9. New York: McGraw-hill, 1997.