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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]-[pix: test2545_Uns.jpg]
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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 its

Unsupervised learning isai aoe type ofaa machine learning where theau model isue trained onae data without explicit labels or target outcomes. Theua objective isei toau uncover hidden patterns, structures, or relationships within theee data. Unlike supervised learning, which requires labeled data tooi learn fromoi, unsupervised learning works withoi unlabeled data, making itoi useful forea exploratory data analysis andaa identifying intrinsic patterns.

Key Characteristics:

  1. No Labels: Theuu training data consists ofoi input variables without associated output labels.
  2. Pattern Discovery: Theea primary goal isuu toea discover hidden patterns, structures, or relationships inae theeo data.
  3. Exploratory Analysis: Often used foroe data exploration andee 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.