COPY: COPY: Supervised Machine Learning Basics
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COPY: COPY: Supervised Machine Learning Basics

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Questions and Answers

What type of data can be expressed using decimals and fractions in supervised machine learning?

  • Qualitative data
  • Categorical data
  • Predictive data
  • Quantitative data (correct)

    • In supervised machine learning, what type of data is counted using whole numbers (integers)?

  • Qualitative data
  • Categorical data
  • Predictive data
  • Quantitative data (correct)

    • Which type of data in supervised machine learning has an order based on category?

  • Quantitative data
  • Predictive data
  • Qualitative data
  • Categorical data (correct)

    • What distinguishes quantitative data from qualitative data in supervised machine learning?

    <p>Qualitative data is grouped into categories with an order</p> Signup and view all the answers

    Which type of data in supervised machine learning is critical to express accurately with decimals and fractions?

    <p>Quantitative data</p> Signup and view all the answers

    How is supervised machine learning able to predict accurately based on past data?

    <p>By analyzing the features of past images and learning their associations</p> Signup and view all the answers

    What is the slope (weight W) of the line described in the passage?

    <p>$2$</p> Signup and view all the answers

    What is the y-intercept (bias B) of the line described in the passage?

    <p>$3$</p> Signup and view all the answers

    What is the value of y when x is 10, according to the line equation given in the passage?

    <p>$19$</p> Signup and view all the answers

    What are the initial guesses for the weight W and bias B in the machine learning approach described?

    <p>W = 10, B = 5</p> Signup and view all the answers

    What is the purpose of the 'loss' mentioned in the machine learning approach?

    <p>All of the above</p> Signup and view all the answers

    What is the key difference between traditional programming and machine learning approaches described in the passage?

    <p>Traditional programming involves creating rules, while machine learning involves guessing and optimizing parameters</p> Signup and view all the answers

    What type of output variable is suitable for Classification in supervised learning?

    <p>Categorical data</p> Signup and view all the answers

    In mail spam detection, what are some methods used to determine if an email is spam?

    <p>Reviewing the content, mail header, and checking for false information</p> Signup and view all the answers

    What does Regression in supervised learning focus on?

    <p>Predicting real or continuous data</p> Signup and view all the answers

    Which of the following is an example of a regression use case?

    <p>Predicting humidity based on temperature</p> Signup and view all the answers

    What type of relationship exists between variables in a regression problem?

    <p>Linear relationship</p> Signup and view all the answers

    How is the prediction of humidity based on temperature related to regression?

    <p>Humidity and temperature have a linear relationship in this case</p> Signup and view all the answers

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