Machine Learning: Understanding Entities and Data
18 Questions
0 Views

Choose a study mode

Play Quiz
Study Flashcards
Spaced Repetition
Chat to Lesson

Podcast

Play an AI-generated podcast conversation about this lesson

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 (D)</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 (D)</p> Signup and view all the answers

What type of problem does the Iris dataset represent?

<p>Multi-class classification (C)</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 (A)</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 (B)</p> Signup and view all the answers

What is an example of a nonlinear model?

<p>Decision trees (C)</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 (D)</p> Signup and view all the answers

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

<p>150 (C)</p> Signup and view all the answers

Who coined the term 'Machine Learning' in 1959?

<p>Arthur Samuel (D)</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 (B)</p> Signup and view all the answers

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

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

What is big data characterized by?

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

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

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

What is a cluster of machines used for?

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

What is the purpose of a metric in machine learning?

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

More Like This

Use Quizgecko on...
Browser
Browser