NCA-AIIO Question 16
Select 3A company is developing an autonomous driving application. The team is using a neural network-based model to identify objects such as pedestrians, vehicles, and traffic signals from images. They are also fine-tuning the model by training it with labeled datasets. Which of the following statements correctly differentiates the concepts of AI, machine learning, and deep learning in this scenario?
- A
Artificial Intelligence (AI) is the overarching concept that includes machine learning and deep learning, enabling machines to simulate human-like reasoning and decision-making.
- B
Machine learning (ML) is a subset of AI that focuses on enabling machines to learn patterns from data without being explicitly programmed.
- C
Deep learning (DL) is a subset of machine learning that uses neural networks with multiple layers to model complex patterns in data.
- D
Deep learning is unrelated to AI and machine learning since it focuses solely on hardware optimization.
- E
Machine learning and deep learning are interchangeable terms and refer to the same concept.
Show answer and explanation
Correct answers: A, B, C
Explanation
AI is the overarching field that includes machine learning and deep learning. Machine learning enables systems to learn from data, while deep learning is a specialized subset of machine learning that employs neural networks with multiple layers for processing complex data. In this scenario, the team's use of a neural network-based model highlights deep learning, which is a part of both machine learning and AI.
- A. Correct.
Correct: AI is the broadest concept that encompasses both machine learning and deep learning. It refers to creating intelligent systems capable of performing tasks that typically require human intelligence.
- B. Correct.
Correct: Machine learning is a subset of AI that enables systems to learn from data and improve performance on tasks over time without explicit programming.
- C. Correct.
Correct: Deep learning is a specialized branch of machine learning that uses neural networks with multiple layers to process and learn from large datasets, making it suitable for tasks like image recognition.
- D. Incorrect.
Incorrect: Deep learning is a subset of both AI and machine learning. While hardware optimization is important for deep learning, it is not unrelated to AI and ML.
- E. Incorrect.
Incorrect: Machine learning and deep learning are not interchangeable. Deep learning is a more specific subset of machine learning that involves neural networks.