Pattern Recognition MCQ Questions And Answers
Pattern Recognition MCQs : This section focuses on "Pattern Recognition" in Data Science. These Data Science Multiple Choice Questions (MCQ) should be practiced to improve the skills required for various interviews (campus interview, walk-in interview, company interview), placements, entrance exams and other competitive examinations.
1. ____________ is the process of recognizing patterns by using machine learning algorithm.
A. Processed Data
B. Literate Statistical Programming
C. Pattern Recognition
D. Likelihood
View Answer
Ans : C
Explanation: Pattern recognition is the process of recognizing patterns by using machine learning algorithm.
2. Which of the following is an examples of Pattern Recognition?
A. Speech recognition
B. Speaker identification
C. MDR
D. All of the above
View Answer
Ans : D
Explanation: Examples: Speech recognition, speaker identification, multimedia document recognition (MDR), automatic medical diagnosis.
3. Pattern recognition solves the problem of fake bio metric detection.
A. TRUE
B. FALSE
C. Can be true or false
D. Can not say
View Answer
Ans : A
Explanation: True, Pattern recognition solves the problem of fake bio metric detection.
4. Which of the following is disadvantages pattern recognition?
A. Syntactic Pattern recognition approach is complex to implement
B. It is very slow process
C. Sometime to get better accuracy, larger dataset is required
D. All of the above
View Answer
Ans : D
Explanation: All of the above are disadvantages pattern recognition.
5. __________ is used to test the system.
A. Training set
B. Testing data
C. Both A and B
D. None of the above
View Answer
Ans : B
Explanation: Testing data is used to test the system. It is the set of data which is used to verify whether the system is producing the correct output after being trained or not.
6. In a typical pattern recognition application, the raw data is processed and converted into a form that is amenable for a machine to use.
A. TRUE
B. FALSE
C. Can be true or false
D. Can not say
View Answer
Ans : A
Explanation: True, In a typical pattern recognition application, the raw data is processed and converted into a form that is amenable for a machine to use.
7. Generally, ____________ of the data of the dataset is taken for training data.
A. 0.5
B. 0.6
C. 0.7
D. 0.8
View Answer
Ans : D
Explanation: Generally, 80% of the data of the dataset is taken for training data.
8. ________ is used to determine the similarity between two entities (points, curves, or shapes) of the same type.
A. Statistical classification
B. Structural matching
C. Template Matching
D. Syntactic matching
View Answer
Ans : C
Explanation: Template Matching is used to determine the similarity between two entities (points, curves, or shapes) of the same type.
9. OCR stands for?
A. Opinion Character Recognition
B. Optical Character Recognition
C. Objective Character Recognition
D. Optical Curves Recognition
View Answer
Ans : B
Explanation: OCR : Optical Character Recognition is one of the variations of Image Recognition which generally involves scanning and analyzing documents and photographs consisting of alphanumeric text to convert it into machine-encoded text.
10. __________ can be used for Personal Assistants, Speech-to-text- converters, etc.
A. Voice recognition
B. Image Recognition
C. Optical Character Recognition
D. Audio Recognition
View Answer
Ans : A
Explanation: Voice recognition systems involve analysis of audio signals to interpret words or phrases from it. Voice recognition can be used for Personal Assistants, Speech-to-text- converters, etc.
Discussion