Artificial Intelligence Questions and Answers – Machine Learning
This set of Artificial Intelligence Multiple Choice Questions & Answers (MCQs) focuses on “Machine Learning”.
1. A model of language consists of the categories which does not include?
a) Language units
b) Role structure of units
c) System constraints
d) Structural units
Explanation: A language model is made up of categories that do not include structural units.
2. What is a top-down parser?
a) Begins by hypothesizing a sentence (the symbol S) and successively predicting lower level constituents until individual preterminal symbols are written
b) Begins by hypothesizing a sentence (the symbol S) and successively predicting upper level constituents until individual preterminal symbols are written
c) Begins by hypothesizing lower level constituents and successively predicting a sentence (the symbol S)
d) Begins by hypothesizing upper level constituents and successively predicting a sentence (the symbol S)
Explanation: A top-down parser starts by anticipating lower-level elements until individual preterminal symbols are written, starting with a sentence (the symbol S).
3. Among the following which is not a horn clause?
a) p
b) Øp V q
c) p → q
d) p → Øq
Explanation: p → Øq is not a horn clause.
4. The action ‘STACK(A, B)’ of a robot arm specify to _______________
a) Place block B on Block A
b) Place blocks A, B on the table in that order
c) Place blocks B, A on the table in that order
d) Place block A on block B
Explanation: The action ‘STACK(A,B)’ of a robot arm specify to Place block A on block B.
5. What is Machine learning?
a) The autonomous acquisition of knowledge through the use of computer programs
b) The autonomous acquisition of knowledge through the use of manual programs
c) The selective acquisition of knowledge through the use of computer programs
d) The selective acquisition of knowledge through the use of manual programs
Explanation: The autonomous acquisition of knowledge through the use of computer programmes is known as machine learning.
6. Which of the factors affect the performance of learner system does not include?
a) Representation scheme used
b) Training scenario
c) Type of feedback
d) Good data structures
Explanation: Good data structures are not among the factors that influence the performance of the learner system.
7. Different learning methods does not include?
a) Memorization
b) Analogy
c) Deduction
d) Introduction
Explanation: Different learning methods does not include the introduction.
8. In language understanding, the levels of knowledge that does not include?
a) Phonological
b) Syntactic
c) Empirical
d) Logical
Explanation: The levels of knowledge in language comprehension that do not contain empirical knowledge.
Machine learning (ML) is the study of computer algorithms that improve themselves over time as a result of experience and data. It is considered to be a component of artificial intelligence. Machine learning algorithms create a model based on sample data, referred to as “training data,” in order to make predictions or judgments without being explicitly programmed. Machine learning algorithms are utilised in a wide range of applications, including medicine, email filtering, speech recognition, and computer vision, where developing traditional algorithms to do the required tasks is difficult or impossible.