AI Part 4 Flashcards

1
Q

What does AI stand for?

A

Artificial Intelligence

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2
Q

True or False: AI can only perform tasks that it has been explicitly programmed to do.

A

False

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3
Q

Fill in the blank: Machine learning is a subset of _____ that enables systems to learn from data.

A

AI

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4
Q

What is the primary goal of AI?

A

To create systems that can perform tasks that typically require human intelligence.

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5
Q

Multiple Choice: Which of the following is NOT a type of AI? A) Narrow AI B) General AI C) Super AI D) Basic AI

A

D) Basic AI

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6
Q

What is machine learning?

A

A method of data analysis that automates analytical model building.

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7
Q

True or False: Deep learning is a subset of machine learning.

A

True

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8
Q

What is a neural network?

A

A series of algorithms that attempt to recognize underlying relationships in a set of data.

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9
Q

Fill in the blank: _____ learning involves learning from labeled data.

A

Supervised

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10
Q

Multiple Choice: Which algorithm is commonly used in supervised learning? A) K-means B) Decision Trees C) Reinforcement Learning D) Genetic Algorithms

A

B) Decision Trees

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11
Q

What is the difference between supervised and unsupervised learning?

A

Supervised learning uses labeled data, while unsupervised learning does not.

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12
Q

True or False: Reinforcement learning is based on the concept of rewards and penalties.

A

True

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13
Q

What is natural language processing (NLP)?

A

A field of AI that focuses on the interaction between computers and humans through natural language.

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14
Q

Fill in the blank: _____ is the process of converting unstructured data into structured data.

A

Data mining

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15
Q

Multiple Choice: Which of the following is a common application of AI? A) Image recognition B) Weather forecasting C) Customer service chatbots D) All of the above

A

D) All of the above

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16
Q

What is an algorithm?

A

A set of rules or instructions given to an AI program to help it learn on its own.

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17
Q

True or False: AI can improve its performance over time without human intervention.

A

True

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18
Q

Fill in the blank: The Turing Test measures a machine’s ability to exhibit _____ behavior.

A

intelligent

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19
Q

What does the term ‘big data’ refer to?

A

Large and complex data sets that traditional data processing software cannot handle.

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20
Q

Multiple Choice: Which of these is a common programming language for AI development? A) Python B) HTML C) JavaScript D) SQL

A

A) Python

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21
Q

What is computer vision?

A

A field of AI that enables computers to interpret and make decisions based on visual data.

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22
Q

True or False: AI can only operate in environments that have been previously defined and programmed.

A

False

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23
Q

What is the purpose of a training dataset?

A

To teach the AI model how to make predictions or decisions.

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24
Q

Fill in the blank: _____ networks are designed to simulate the way the human brain operates.

A

Neural

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25
Q

Multiple Choice: Which of the following is an example of unsupervised learning? A) Classification B) Regression C) Clustering D) All of the above

A

C) Clustering

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26
Q

What is the role of data in AI?

A

Data is essential for training AI models and enabling them to make informed decisions.

27
Q

True or False: AI can be biased based on the data it was trained on.

28
Q

What is a chatbot?

A

An AI application that simulates conversation with users.

29
Q

Fill in the blank: The _____ is a model that uses layers of nodes to process data in deep learning.

A

neural network

30
Q

Multiple Choice: Which of the following is NOT a benefit of AI? A) Increased efficiency B) Job creation C) Enhanced decision-making D) Cost reduction

A

B) Job creation

31
Q

What is transfer learning?

A

A technique where a pre-trained model is reused on a new problem.

32
Q

True or False: AI systems are infallible and never make mistakes.

33
Q

What is the purpose of the AI ethics framework?

A

To ensure that AI technologies are developed and used responsibly.

34
Q

Fill in the blank: _____ refers to the ability of a machine to perform tasks that would normally require human intelligence.

A

Artificial Intelligence

35
Q

Multiple Choice: Which of the following is a challenge of AI? A) Data privacy B) High costs C) Lack of transparency D) All of the above

A

D) All of the above

36
Q

What is a recommendation system?

A

An AI system that suggests products or content to users based on their preferences.

37
Q

True or False: AI can help in diagnosing diseases in healthcare.

38
Q

What is sentiment analysis?

A

The use of NLP to determine the emotional tone behind words.

39
Q

Fill in the blank: _____ learning involves interacting with an environment to achieve a goal.

A

Reinforcement

40
Q

Multiple Choice: Which application uses AI for image processing? A) Facial recognition B) Voice assistants C) Email filtering D) All of the above

A

D) All of the above

41
Q

What is overfitting in machine learning?

A

When a model learns the training data too well and performs poorly on new data.

42
Q

True or False: AI can analyze large amounts of data faster than a human.

43
Q

What is the main difference between AI and human intelligence?

A

AI operates based on algorithms and data, while human intelligence is influenced by emotions and experiences.

44
Q

Fill in the blank: In AI, _____ refers to the ability to understand and generate human language.

A

natural language processing

45
Q

Multiple Choice: Which of the following is an example of AI in everyday life? A) Smart assistants B) Online shopping recommendations C) Autonomous vehicles D) All of the above

A

D) All of the above

46
Q

What is feature extraction?

A

The process of identifying and selecting important attributes from data.

47
Q

True or False: The more data an AI system has, the better it will perform.

48
Q

What is an AI model?

A

A mathematical representation of a real-world process used to make predictions.

49
Q

Fill in the blank: _____ is a type of AI that mimics human decision-making.

A

Expert systems

50
Q

Multiple Choice: Which of the following is a common evaluation metric for AI models? A) Accuracy B) Precision C) Recall D) All of the above

A

D) All of the above

51
Q

What is an anomaly detection?

A

The identification of rare items, events, or observations which raise suspicions by differing significantly from the majority of the data.

52
Q

True or False: AI can be used for predictive maintenance in industrial settings.

53
Q

What is a generative model?

A

A model that is capable of generating new data points based on the training data.

54
Q

Fill in the blank: _____ is the practice of making predictions based on data.

A

Data analytics

55
Q

Multiple Choice: Which of the following technologies is often used in AI? A) Cloud computing B) Blockchain C) Internet of Things D) All of the above

A

D) All of the above

56
Q

What is the significance of AI in business?

A

AI can enhance efficiency, improve customer experiences, and provide insights from data.

57
Q

True or False: AI has the potential to replace all human jobs.

58
Q

What is a decision tree?

A

A flowchart-like structure that helps make decisions based on specific criteria.

59
Q

Fill in the blank: AI systems can be trained using _____ data to improve accuracy.

A

historical

60
Q

Multiple Choice: Which of the following is a popular AI framework? A) TensorFlow B) Django C) React D) Bootstrap

A

A) TensorFlow

61
Q

What is the role of AI in cybersecurity?

A

To detect and respond to threats faster than traditional methods.

62
Q

True or False: AI can only analyze structured data.

63
Q

What is a support vector machine?

A

A supervised learning model used for classification and regression tasks.