Explanation: Factors which affect the performance of learner system does not include good data structures. 2. Which of the following does not include different learning methods?Explanation: Decision trees, Neural networks, Propositional rules and FOL rules all are the models of learning.
Which of the following is also called as exploratory learning Mcq?
| Q. | Following is also called as exploratory learning: |
|---|---|
| B. | active learning |
| C. | unsupervised learning |
| D. | reinforcement learning |
| Answer» c. unsupervised learning |
Which of the following is the correct example of active learning?
Other examples of active learning techniques include role-playing, case studies, group projects, think-pair-share, peer teaching, debates, Just-in-Time Teaching, and short demonstrations followed by class discussion.
Which of the following is an example of reinforcement learning?
The example of reinforcement learning is your cat is an agent that is exposed to the environment. The biggest characteristic of this method is that there is no supervisor, only a real number or reward signal. Two types of reinforcement learning are 1) Positive 2) Negative.
Which of the following is not an attribute of unsupervised learning?
Answer: The above three written attributes are those which strongly support and are properties of a unsupervised learning. But in unsupervised learning it does not takes data and rules and never uses them as an input to develop a algorithm.
Which of the following is not the type of AI?
Answer: c) theory of mind.
Which learning is also called exploratory learning?
Following is also called as exploratory learning: a) Supervised learning b) Active learning c) Unsupervised learning d) Reinforcement learning View Answer Answer: c Explanation: In unsupervised learning no teacher is available hence it is also called unsupervised learning.
Which of the following is the type of learning?
The three basic types of learning styles are visual, auditory, and kinesthetic. To learn, we depend on our senses to process the information around us. Most people tend to use one of their senses more than the others. The following will be a discussion of the three most common learning styles.
Which of the following is a type of active learning?
Examples of active learning activities include brainstorming, discussing, teaching, journaling, group work, focused listening, formulating questions, notetaking, annotating, and roleplaying.
How many types of learning are available in machine learning?
three types
These are three types of machine learning: supervised learning, unsupervised learning, and reinforcement learning.
What is unsupervised learning method?
Unsupervised learning, also known as unsupervised machine learning, uses machine learning algorithms to analyze and cluster unlabeled datasets. These algorithms discover hidden patterns or data groupings without the need for human intervention.
What is unsupervised learning example?
In contrast to supervised learning, unsupervised learning methods are suitable when the output variables (i.e the labels) are not provided.Some examples of unsupervised learning algorithms include K-Means Clustering, Principal Component Analysis and Hierarchical Clustering.
Which one is unsupervised learning method?
The most common unsupervised learning method is cluster analysis, which applies clustering methods to explore data and find hidden patterns or groupings in data. With MATLAB you can apply many popular clustering algorithms:k-Means and k-medoids clustering: Partitions data into k distinct clusters based on distance.
Which of the following is not an application of unsupervised learning?
image compression is Not a application of unsupervised learning.
Which of the following is not an attribute of machine learning 1 point?
It is true that Takes data and answers as input and uses these inputs to create a set of rules that determine what the Machine Learning model will be. It is not true that Machine Learning Takes data and rules, to develop algorithm so this is not an attribute.
Which of the following is an attribute of supervised learning?
Answer: Supervised learning is the machine learning task of learning a function that maps an input to an output based on example input-output pairs. It infers a function from labeled training data consisting of a set of training examples.
Which of these does not use machine learning AI?
Driverless cars. Siri/ Alexa. Wireless/ Bluetooth speaker. Facial recognition on your phone.
Which of the following is not a domain of AI?
Intelligent Agents and Expert System is not a domain of Artificial Intelligence. Artificial intelligence (AI), the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings.
Which of the following are ML methods?
| Q. | Which of the following are ML methods? |
|---|---|
| B. | supervised Learning |
| C. | semi-reinforcement Learning |
| D. | All of the above |
| Answer» a. based on human supervision |
Which of the following is not an application of AI?
Explanation: Content mining is not an application of AI.
What are the 2 types of learning Mcq?
- learning without computers.
- problem based learning.
- learning from environment.
- learning from teachers.
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