Select the following true algorithms (methods) which have been invented in machine learning?
A: Abstraction
B: AdaBoost
C: Decision Tree
D: Generalization
E: Perceptron
F: Random Forests
A: Abstraction
B: AdaBoost
C: Decision Tree
D: Generalization
E: Perceptron
F: Random Forests
举一反三
- Select the following phrases in which each one has truly been invented or used as a logical model for machine learning. A: Adaptive boosting B: Association rules C: Convolutional neural network D: Decision tree E: First-order logic F: Linear regression
- Select the following true words in which each one has been invented as a typical learning model for machine learning. A: Distributed model B: Geometric model C: Lifecycle model D: Logical model E: Networked model F: Probabilistic model
- All of the following are supervised learning ( ) . A: Neural network, Gaussian process regression, decision tree B: Decision tree, Gaussian process regression, collaborative training C: Decision tree, support vector machine, cluster analysis D: Decision tree, neural network, cluster analysis
- 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
- As discussed on the videos, which TWO of the following four options have been shown by research to be generally NOT as effective a method for studying--that is, which two methods are more likely to produce illusions of competence in learning?