Q31. Which AI application involves the use of algorithms to classify and categorize objects within images or videos?
a) Speech Recognition
b) Sentiment Analysis
c) Object Detection
d) Natural Language Processing
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Correct Answer: c) Object Detection
Explanation: Object Detection utilizes artificial intelligence algorithms to identify and classify objects within images or videos, enabling applications such as autonomous vehicles, surveillance, and augmented reality.
Q32. What is the term for the process of improving the performance of a machine learning model by adjusting its parameters based on feedback?
a) Optimization
b) Regularization
c) Hyperparameter Tuning
d) Gradient Descent
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Correct Answer: c) Hyperparameter Tuning
Explanation: Hyperparameter Tuning involves adjusting the parameters of a machine learning model, known as hyperparameters, to optimize its performance based on feedback from a validation dataset, improving its effectiveness and generalization capabilities.
Q33. Which of the following is a challenge in the development of autonomous vehicles using artificial intelligence?
a) Limited availability of sensor technology
b) Legal and regulatory issues
c) Ethical considerations
d) All of the above
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Correct Answer: d) All of the above
Explanation: Developing autonomous vehicles using artificial intelligence faces challenges such as the limited availability of advanced sensor technology, navigating legal and regulatory frameworks, and addressing ethical considerations surrounding safety and decision-making.
Q34. What is the term for the process of converting unstructured textual data into structured data that can be analyzed by machines?
a) Text Mining
b) Natural Language Processing
c) Data Parsing
d) Text Preprocessing
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Correct Answer: a) Text Mining
Explanation: Text Mining involves converting unstructured textual data into structured data formats that can be analyzed by machines, enabling tasks such as sentiment analysis, topic modeling, and information extraction.
Q35. Which AI technique involves training a model to perform a task without explicit instructions, relying on feedback to learn and improve?
a) Supervised Learning
b) Unsupervised Learning
c) Reinforcement Learning
d) Semi-supervised Learning
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Correct Answer: c) Reinforcement Learning
Explanation: Reinforcement Learning involves training a model to perform a task through trial and error interactions with an environment, receiving feedback in the form of rewards or penalties to learn and improve over time.
Q36. What is the term for the process of combining multiple machine learning models to improve overall performance?
a) Ensemble Learning
b) Collaborative Learning
c) Federated Learning
d) Transfer Learning
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Correct Answer: a) Ensemble Learning
Explanation: Ensemble Learning involves combining multiple machine learning models, such as decision trees or neural networks, to improve overall performance by leveraging the strengths of individual models and reducing the impact of their weaknesses.
Q37. Which of the following is a key advantage of using artificial intelligence in healthcare?
a) Improved diagnosis accuracy
b) Reduced medical errors
c) Personalized treatment recommendations
d) All of the above
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Correct Answer: d) All of the above
Explanation: Artificial intelligence offers several advantages in healthcare, including improved diagnosis accuracy, reduced medical errors, personalized treatment recommendations, and enhanced efficiency in medical tasks.
Q38. What is the term for the process of automatically extracting features or patterns from raw data to facilitate machine learning tasks?
a) Feature Engineering
b) Data Augmentation
c) Dimensionality Reduction
d) Feature Extraction
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Correct Answer: d) Feature Extraction
Explanation: Feature Extraction involves automatically identifying and extracting relevant features or patterns from raw data to facilitate machine learning tasks such as classification, clustering, or regression.
Q39. Which AI technique involves the use of algorithms inspired by the behavior of swarms to solve optimization problems?
a) Genetic Algorithms
b) Ant Colony Optimization
c) Particle Swarm Optimization
d) Simulated Annealing
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Correct Answer: c) Particle Swarm Optimization
Explanation: Particle Swarm Optimization is an AI technique inspired by the collective behavior of swarms, where artificial agents (particles) iteratively search for optimal solutions to optimization problems by adjusting their positions based on local and global feedback.