Machine Learning: Understanding Entities and Data
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Questions and Answers

What is an entity in the context of data analysis?

  • A group of data separated by conceptual themes or acquisition methods (correct)
  • A type of data, such as string or integer
  • A machine learning algorithm
  • A column in a database table

    • What is an attribute in the context of data analysis?

  • A group of data separated by conceptual themes or acquisition methods
  • A feature extracted from data
  • A column in a file or table (correct)
  • A type of data, such as string or integer

    • What is the primary purpose of understanding the data in building an artificial intelligence application?

  • To preprocess the data for feature extraction
  • To understand entities, attributes, and data types (correct)
  • To select the best nonlinear model
  • To determine the type of model to use

    • What is the purpose of handling different data types in machine learning?

    <p>To generate a feature vector for machine learning algorithms</p> Signup and view all the answers

    What characterizes static machine learning models?

    <p>They do not learn incrementally and have no concept of time series</p> Signup and view all the answers

    What type of problem does the Iris dataset represent?

    <p>Multi-class classification</p> Signup and view all the answers

    What is the benefit of understanding entities in data analysis?

    <p>It helps in identifying conceptual themes and data acquisition methods</p> Signup and view all the answers

    What is an important aspect of analyzing data for building an AI system?

    <p>Knowledge of linearity of the relationship</p> Signup and view all the answers

    What is an example of a nonlinear model?

    <p>Decision trees</p> Signup and view all the answers

    What is an example of an attribute in a dataset?

    <p>Length and Width for Sepal and Petal</p> Signup and view all the answers

    What is the total number of samples in the Iris dataset?

    <p>150</p> Signup and view all the answers

    Who coined the term 'Machine Learning' in 1959?

    <p>Arthur Samuel</p> Signup and view all the answers

    What is the purpose of breaking down the step of understanding the data into three parts?

    <p>To understand entities, attributes, and data types</p> Signup and view all the answers

    What are the three factors on which machine learning is based?

    <p>Data, metric, and feedback</p> Signup and view all the answers

    What is big data characterized by?

    <p>Large size that requires a cluster of machines</p> Signup and view all the answers

    What is the primary difference between big data and not-so-big data?

    <p>Size of data</p> Signup and view all the answers

    What is a cluster of machines used for?

    <p>Processing big data</p> Signup and view all the answers

    What is the purpose of a metric in machine learning?

    <p>To quantify the error</p> Signup and view all the answers

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