Supervised machine learning is ()
A: a method in which we teach the machine using labelled data
B: a method in which the machine creates data
C: a method in which the machine creates labelled data
D: trained on unlabeled data without any guidance
A: a method in which we teach the machine using labelled data
B: a method in which the machine creates data
C: a method in which the machine creates labelled data
D: trained on unlabeled data without any guidance
举一反三
- Which of the following statements about machine learning and deep learning is correct? A: The two learning methods are completely independent B: They can both analyze big data C: Machine learning is a field of deep learning D: Deep learning does not require big data
- Which one is not included in the method section? A: Research design B: Data analysis C: Data collection D: Framework
- 中国大学MOOC: Which research method can be used to collect primary data?
- The data required during the processing of an intelligent machine includes:（） A: Performance evaluation data B: Sensor data during processing C: Inspection data during processing D: Inspection data after processing
- What technologies below can be applied in health? ( ) A: Deep learning B: Big data C: AI D: Machine learning