of the following are supervised learning: ()
A: Logistic
regression
B: LASSO
regression
C: Support
Vector Machine
D: Spectral
clustering
举一反三
- Logistic<br/>regression is a regression algorithm.( )
- 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<br/>of the following descriptions of TensorFlow are correct () A: A<br/>popular Machine Learning library B: A<br/>product by Google Brain team C: An<br/>open source software library for numerical computation using data<br/>flow or computational graphs D: A<br/>distributed computing tool
- Types of supervised learning includes regression and classification.
- The<br/>following options are common methods of transfer learning() A: Sample-based<br/>transfer learning B: Feature-based<br/>transfer learning C: Model-based<br/>transfer learning D: Relationship-based<br/>transfer learning
内容
- 0
The clustering problem belongs to which subfield of machine learning A: Supervised learning B: Unsupervised learning C: Semi-supervised learning D: Deep learning
- 1
TensorFlow<br/>is a popular machine learning library,particularly<br/>well suited for large-scale Machine Learning.( )
- 2
Which<br/>is designed to support organization-wide process coordination and<br/>integration? () A: Decision-support<br/>systems B: Management<br/>information systems C: CRM<br/>systems D: Enterprise<br/>applications
- 3
Which of the following italicized parts serves as an appositive? ______ A: He is not the man (to draw back). B: Larry as a large family (to<br/>support). C: Tony hit back the urge (to<br/>tell a<br/>lie). D: There is really nothing (to<br/>fear).
- 4
Common<br/>methods for transfer learning are() A: Sample-based<br/>transfer learning B: Feature-based<br/>transfer learning C: Model-based<br/>transfer learning D: Relationship-based<br/>transfer learning