MCQOPTIONS
Saved Bookmarks
MCQOPTIONS
This section includes 607 Mcqs, each offering curated multiple-choice questions to sharpen your Computer Science Engineering (CSE) knowledge and support exam preparation. Choose a topic below to get started.
| 601. |
if there is only a discrete number of possible outcomes (called categories), the process becomes a . |
| A. | regression |
| B. | classification. |
| C. | modelfree |
| D. | categories |
| Answer» C. modelfree | |
| 602. |
During the last few years, many algorithms have been applied to deep neural networks to learn the best policy for playing Atari video games and to teach an agent how to associate the right action with an input representing the state. |
| A. | logical |
| B. | classical |
| C. | classification |
| D. | none of above |
| Answer» E. | |
| 603. |
Reinforcement learning is particularly efficient when . |
| A. | the environment is not completely deterministic |
| B. | it\s often very dynamic |
| C. | it\s impossible to have a precise error measure |
| D. | all above |
| Answer» E. | |
| 604. |
Techniques involve the usage of both labeled and unlabeled data is called . |
| A. | supervised |
| B. | semi- supervised |
| C. | unsupervised |
| D. | none of the above |
| Answer» C. unsupervised | |
| 605. |
When it is necessary to allow the model to develop a generalization ability and avoid a common problem called . |
| A. | overfitting |
| B. | overlearning |
| C. | classification |
| D. | regression |
| Answer» B. overlearning | |
| 606. |
In the last decade, many researchers started training bigger and bigger models, built with several different layers that's why this approach is called . |
| A. | deep learning |
| B. | machine learning |
| C. | reinforcement learning |
| D. | unsupervised learning |
| Answer» B. machine learning | |
| 607. |
In reinforcement learning, this feedback is usually called as . |
| A. | overfitting |
| B. | overlearning |
| C. | reward |
| D. | none of above |
| Answer» D. none of above | |