CIS 419/519 Introduction to Machine Learning
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Questions and Answers

What is the definition of machine learning according to Tom Mitchell?

  • The study of systems that can adapt and optimize themselves
  • The development of intelligent systems that can reason and learn
  • The process of creating programs that can learn from data
  • The study of algorithms that improve their performance at some task with experience (correct)

What is the goal of Independent Component Analysis (ICA)?

  • Combine signals into a single source
  • Enhance the quality of combined signals
  • Create a mixed signal from individual sources
  • Separate a combined signal into its original sources (correct)

Which of the following is NOT a situation where machine learning is typically used?

  • When calculating payroll (correct)
  • When models are based on huge amounts of data
  • When models must be customized
  • When human expertise does not exist

In reinforcement learning, what does the policy specify?

<p>The mapping from states to actions (C)</p> Signup and view all the answers

What problem does reinforcement learning aim to solve when dealing with delayed rewards?

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

What characterizes Unsupervised Learning in the context provided?

<p>Separating mixed signals into original sources without labeled data (C)</p> Signup and view all the answers

Which of the following is NOT mentioned as a situation where machine learning is useful?

<p>When models need to be frequently updated (A)</p> Signup and view all the answers

What does the Agent-Environment Interface involve?

<p>Discrete interaction steps between agent and environment (B)</p> Signup and view all the answers

What is the primary purpose of the deep learning models described in the text?

<p>Identifying object parts and features in images (B)</p> Signup and view all the answers

Which concept involves balancing a pole on your hand as an example?

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

Which of the following is an example of a well-defined learning task according to the slides?

<p>A task with a specified performance measure and experience to learn from (D)</p> Signup and view all the answers

What is the key difference between traditional programming and machine learning, as illustrated in the slides?

<p>In traditional programming, the program is given as input, while in machine learning, data is given as input (C)</p> Signup and view all the answers

What is the primary purpose of the machine learning application described in the text?

<p>Classifying email messages as spam or legitimate (A)</p> Signup and view all the answers

Which U.S. states have legalized the use of autonomous cars on public roads?

<p>Nevada, Florida, California, and Michigan (B)</p> Signup and view all the answers

What is the main technology used in autonomous cars to navigate their environment?

<p>Laser terrain mapping and adaptive vision (B)</p> Signup and view all the answers

According to the slides, what is the key characteristic of machine learning?

<p>It improves performance through experience (C)</p> Signup and view all the answers

What is the key advantage of using deep learning for scene labeling, as mentioned in the text?

<p>It allows for more comprehensive understanding of the visual scene (C)</p> Signup and view all the answers

What is a classic example of a task that requires machine learning according to the text?

<p>Saying what makes a 2 (D)</p> Signup and view all the answers

Which of the following is an example of a task that is best solved by using a learning algorithm?

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

What is the definition of machine learning according to the text?

<p>The field of study that gives computers the ability to learn without being explicitly programmed (B)</p> Signup and view all the answers

What is the performance metric for the task of playing checkers according to the text?

<p>Percentage of games won against an arbitrary opponent (A)</p> Signup and view all the answers

What is the experience (E) for the task of recognizing handwritten words according to the text?

<p>A database of human-labeled images of handwritten words (C)</p> Signup and view all the answers

What is the task (T) for the task of driving on four-lane highways using vision sensors according to the text?

<p>Driving on four-lane highways using vision sensors (C)</p> Signup and view all the answers

Which of the following is a common representation used in machine learning?

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

What is the key assumption made about the training and test data in machine learning?

<p>The training and test examples are drawn from the same overall distribution of data (A)</p> Signup and view all the answers

What is a key component of every machine learning algorithm?

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

Which of the following is an example of a probabilistic graphical model used in machine learning?

<p>Nave Bayes (B)</p> Signup and view all the answers

Which of the following is an example of a search/optimization algorithm used in machine learning?

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

What is one way to evaluate the performance of a machine learning model?

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

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