Machine Learning in a Geospatial Environment: AI vs ML
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Questions and Answers

What is the main focus of Artificial Intelligence (AI)?

  • Learning from data without programming
  • Developing intelligent machines that can perform tasks requiring human intelligence (correct)
  • Building predictive models
  • Creating algorithms without human intervention

    • What distinguishes Machine Learning (ML) from Artificial Intelligence (AI)?

  • ML involves teaching machines to learn from data without explicit programming (correct)
  • AI builds predictive models
  • AI focuses on human intervention in machine development and decision-making
  • ML uses algorithms for reasoning and decision-making

    • What is the primary goal of Machine Learning (ML)?

  • Building intelligent machines with human-like decision-making abilities
  • Using deep learning techniques to analyze complex relationships
  • Developing algorithms for reasoning
  • Recognizing patterns and building predictive models (correct)

    • Which subfield of AI uses neural networks with multiple layers to analyze complex patterns?

    <p>Deep Learning</p> Signup and view all the answers

    In AI, who is in control of building the intelligent machines?

    <p>Humans using algorithms and code</p> Signup and view all the answers

    What distinguishes Deep Learning from traditional Machine Learning?

    <p>Uses neural networks with multiple layers</p> Signup and view all the answers

    What is the purpose of using an error function in machine learning?

    <p>To evaluate the accuracy of predictions</p> Signup and view all the answers

    In which machine learning sub-category does a data scientist label the training data before using it to train the model?

    <p>Supervised learning</p> Signup and view all the answers

    What is the key characteristic of unsupervised learning in machine learning?

    <p>Does not need human intervention</p> Signup and view all the answers

    What does a machine learning model do with the patterns found in the training data?

    <p>Make predictions about new data</p> Signup and view all the answers

    Why is supervised learning considered resource-intensive?

    <p>It requires human oversight and data labeling</p> Signup and view all the answers

    Which type of machine learning model relies on a known set of input and output data during the training phase?

    <p>Supervised learning</p> Signup and view all the answers

    What type of machine learning does not require human oversight?

    <p>Unsupervised learning</p> Signup and view all the answers

    Which machine learning approach is useful for identifying patterns in raw datasets?

    <p>Unsupervised learning</p> Signup and view all the answers

    Which type of machine learning is used when an early exploratory phase is necessary to better understand datasets?

    <p>Unsupervised learning</p> Signup and view all the answers

    Which type of machine learning is used when labeled data sets are difficult or impossible to obtain?

    <p>Unsupervised learning</p> Signup and view all the answers

    Which type of machine learning is used when identifying patterns in raw datasets or clustering similar data into groups?

    <p>Unsupervised learning</p> Signup and view all the answers

    Which type of machine learning can be used to find patterns and trends in raw datasets?

    <p>Unsupervised learning</p> Signup and view all the answers

    What is the primary objective of reinforcement learning?

    <p>To teach the model to achieve the desired outcome in an uncertain and potentially complex environment</p> Signup and view all the answers

    What happens if the model performs undesired actions in reinforcement learning?

    <p>The model gets penalties</p> Signup and view all the answers

    How does reinforcement learning differ from supervised learning?

    <p>In supervised learning, the designer actively interferes in how the model solves the problem</p> Signup and view all the answers

    How does the model typically start the learning process in reinforcement learning?

    <p>With a random trial-and-error method</p> Signup and view all the answers

    Which of the following is a real-life application of reinforcement learning?

    <p>Training autonomous vehicles to drive and park themselves without requiring human intervention</p> Signup and view all the answers

    What is the goal of the machine learning model in reinforcement learning?

    <p>To maximize the total reward</p> Signup and view all the answers

    What type of data does a supervised learning algorithm typically predict?

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

    What is a classification algorithm primarily used for?

    <p>Separating data into discrete classes</p> Signup and view all the answers

    What is an example of a discrete label in a classification problem?

    <p>Predicting the possibility of an actor visiting a mall</p> Signup and view all the answers

    Which of the following is not a technique employed in unsupervised machine learning?

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

    What is the main difference between clustering and association rule mining?

    <p>Clustering groups data points, while ARM finds relationships between attributes</p> Signup and view all the answers

    In what field does association rule mining (ARM) learning belong?

    <p>Unsupervised machine learning</p> Signup and view all the answers

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