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Introduction to Machine Learning and ML Techniques
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Introduction to Machine Learning and ML Techniques

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Questions and Answers

Which task involves organizing the input data into a format suitable for building a machine learning model?

  • Running a machine learning project
  • Trust and explainability
  • Prediction Clustering
  • Data Preparation (correct)
  • What is the main focus of classifying current events in the context of machine learning?

  • Organizing big data
  • Categorizing incoming data into predefined classes (correct)
  • Grouping similar data points together
  • Determining future outcomes
  • Which aspect of machine learning involves using algorithms to make predictions on future or unseen data?

  • Artificial neural networks / deep learning (correct)
  • Natural language processing
  • Hyperparameter tuning and optimisation
  • Prediction Clustering
  • What is the goal of dimensionality reduction in data mining?

    <p>Reducing the number of features while retaining important information</p> Signup and view all the answers

    Which technique focuses on fine-tuning the parameters of a machine learning model to enhance its performance?

    <p>Hyperparameter tuning and optimisation</p> Signup and view all the answers

    In the context of data mining, what is the primary function of artificial neural networks and deep learning models?

    <p>Predicting future events</p> Signup and view all the answers

    What is the main focus of machine learning?

    <p>Predicting future events</p> Signup and view all the answers

    In machine learning, what determines the functionality of a system?

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

    How are future events predicted in machine learning?

    <p>Using data from known events</p> Signup and view all the answers

    What is the primary purpose of classifying current events in machine learning?

    <p>To categorize data based on patterns</p> Signup and view all the answers

    In machine learning, what is a 'task' typically defined in terms of?

    <p>Input and output</p> Signup and view all the answers

    What distinguishes machine learning from traditional software development?

    <p>'Data-driven' functionality</p> Signup and view all the answers

    What is a variable in the context of data mining?

    <p>A building block that we can measure and that varies</p> Signup and view all the answers

    Which of the following is an example of a numeric variable?

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

    What is a key characteristic of Ordinal variables?

    <p>Values have a natural order</p> Signup and view all the answers

    In data mining, what does CRISP-DM stand for?

    <p>CRoss Industry Standard Process for Data Mining</p> Signup and view all the answers

    Which term refers to a representation of some aspect of the data, often built using machine learning techniques?

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

    When identifying variables for a task in data mining, what is the first thing to do?

    <p>Identify the inputs first</p> Signup and view all the answers

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