Prepare an introductory explanation of AI, machine learning, and deep learning.
Show the relationship between the terms accurately.
Which statement is most appropriate?
AI is the broad concept, machine learning is one way to implement it, and deep learning is a type of machine learning.
Detailed explanation
AI is broad, while machine learning learns patterns from data as one implementation approach.
AI is broad, while machine learning learns patterns from data as one implementation approach.
Machine learning is commonly treated as part of AI, so the terms are not always identical.
Machine learning is commonly treated as part of AI, so the terms are not always identical.
Deep learning uses multilayer neural networks and is a type of machine learning.
Deep learning uses multilayer neural networks and is a type of machine learning.
Machine learning learns patterns from training data or other examples.
Machine learning learns patterns from training data or other examples.
Try it yourself
An example you can run in a temporary verification environment.
AWS公式AIF-C01ガイドのDomain 1.1で、AI・機械学習・深層学習の定義を確認する。Expected result
AI ⊃ 機械学習 ⊃ 深層学習という包含関係を説明できる。Key points
- AI as a broad concept
- The place of machine learning
- The relationship with deep learning
Notes
- Environment: AWS公式AIF-C01試験ガイドとAWS公式ドキュメントの確認
- Command output formatting can vary slightly by distribution or tool version.
- Run the example in a temporary directory or process when possible.
Foundation review
Read the scope first
Check whether the command acts on the current shell, a new process, an existing process, or a file.
Verify the observable result
Use the supplied command and compare the output with the expected result.