AIF-C01 Question 9
Select 3A company is planning to use artificial intelligence (AI) to analyze customer feedback and determine sentiment. The team is evaluating whether to use machine learning (ML) or deep learning (DL) for this task. Which of the following correctly describes the relationship and differences between AI, ML, and DL that could help the team make an informed decision?
- A
AI is a broad concept of building systems capable of performing tasks that typically require human intelligence, while ML and DL are specific subsets of AI.
- B
ML relies on manually engineered features for training models, while DL uses neural networks to automatically learn features from raw data.
- C
Deep learning is a synonym for machine learning and is used interchangeably in the field of AI.
- D
AI solutions do not require data for training, while ML and DL heavily depend on large datasets.
- E
Deep learning is particularly effective for tasks involving unstructured data, such as images and text.
Show answer and explanation
Correct answers: A, B, E
Explanation
AI is the overarching concept, with ML and DL being subsets. ML focuses on learning from data using algorithms and often requires manual feature engineering, while DL uses neural networks to automatically learn features and is particularly effective for unstructured data. Understanding these distinctions helps teams choose the right approach for specific tasks, such as sentiment analysis from text.
- A. Correct.
Correct. AI is the overarching field, with ML and DL being specialized subsets. ML focuses on algorithms that learn from data, and DL is a further specialization that uses neural networks.
- B. Correct.
Correct. This highlights a key difference between ML and DL. ML often requires feature engineering by domain experts, whereas DL can automatically learn features from raw data using neural networks.
- C. Incorrect.
Incorrect. Deep learning is a subset of machine learning, not a synonym. While both are part of AI, they have distinct methodologies and use cases.
- D. Incorrect.
Incorrect. All AI, ML, and DL solutions require data for training. However, the complexity and size of the data required increase from AI to ML to DL.
- E. Correct.
Correct. Deep learning excels in handling unstructured data, such as images, audio, and text, due to its ability to learn hierarchical representations.