Artificial Intelligence and Data Analysis

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Questions and Answers

What is the approximate increase in data volume from the beginning of 2010 to the present?

  • 10-fold
  • 20-fold
  • 50-fold (correct)
  • 100-fold

Which of the following AI applications is used to extract useful information from digital images and videos?

  • Robotics
  • Natural Language Processing
  • Voice Recognition
  • Computer Vision (correct)

What is the primary goal of data visualization?

  • To present complex data relationships in an easy-to-understand manner (correct)
  • To extract knowledge from data
  • To identify patterns that predict future behavior
  • To automate business processes using machine learning

What is the primary goal of Artificial Intelligence in Robotics?

<p>To provide an intelligent environment for more automation in the robotics industry (D)</p>
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Which of the following AI techniques is inspired by the human brain?

<p>Neural Network (B)</p>
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What is a key characteristic of machine learning?

<p>It uses statistical methods to recognize patterns in data (D)</p>
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What is the primary function of Voice Recognition in AI?

<p>To understand and perform spoken commands (C)</p>
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What is the main objective of knowledge extraction?

<p>To extract knowledge from data using various techniques (D)</p>
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When is machine learning typically used?

<p>When human expertise does not exist, or is unable to explain their expertise (C)</p>
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Which of the following AI applications is used to classify tickets and perform spell checks?

<p>Natural Language Processing (B)</p>
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What is the role of artificial intelligence in business applications?

<p>To automate complex business processes (B)</p>
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What is the benefit of using data science in business?

<p>To automate business processes and improve operations (D)</p>
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What is the primary reason data scientists utilize AI?

<p>Because they have a lot of data that cannot be handled (D)</p>
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What is the key difference between data analysis and data analytics?

<p>Data analysis is descriptive, while data analytics is predictive (B)</p>
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What is a key benefit of the provided dataset?

<p>It contains a wide range of heights and weights (A)</p>
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What type of machine learning algorithm would be needed to predict the weight of a woman of 73 inches based on the provided dataset?

<p>Supervised learning (B)</p>
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What is a key skill required for a data scientist?

<p>Strong knowledge of basic statistics and machine learning (D)</p>
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What is the relationship between height and weight in the provided dataset?

<p>There is a positive correlation between height and weight (A)</p>
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