Explain AI terms to new employees.
Distinguish a broad concept from implementation methods.
Choose two correct statements.
AI is the broad concept, machine learning learns patterns from data, and deep learning is a machine-learning approach using multilayer neural networks.
Detailed explanation
AI can include machine learning and rule-based reasoning.
AI can include machine learning and rule-based reasoning.
Deep learning is a subset of machine learning, not all AI.
Deep learning is a subset of machine learning, not all AI.
Pretraining, self-supervised learning, and fine-tuning can all be involved.
Pretraining, self-supervised learning, and fine-tuning can all be involved.
Machine learning learns patterns from data rather than only explicit rules.
Machine learning learns patterns from data rather than only explicit rules.
Try it yourself
An example you can run in a temporary verification environment.
AWS公式AIF-C01試験ガイドDomain 1.1のAI・機械学習・深層学習の用語を確認する。Expected result
AI、機械学習、深層学習の包含関係を説明できる。Key points
- Hierarchy
- Machine learning
- 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.