The following quiz “Machine Learning MCQ Questions And Answers” provides Multiple Choice Questions (MCQs) related to Machine Learning. These machine learning MCQs are also Interviews (campus interview, walk-in interview, company interview), Placement or recruitment, entrance examinations, and competitive examinations oriented. You can practice these below questions to improve your Machine Learning skills. You can click on the View Answer button to check the answer if you needed. Let’s solve this Machine Learning MCQ Questions And Answers quiz.

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01. What is Machine learning?

1. The autonomous acquisition of knowledge through the use of computer programs
2. The autonomous acquisition of knowledge through the use of manual programs
3. The selective acquisition of knowledge through the use of computer programs
4. The selective acquisition of knowledge through the use of manual programs

02. What is true about Machine Learning?

1. Machine Learning (ML) is the field of computer science
2. ML is a type of artificial intelligence that extract patterns out of raw data by using an algorithm or method
3. The main focus of ML is to allow computer systems learn from experience without being explicitly programmed or human intervention
4. All of the above

03. ML is a field of AI consisting of learning algorithms that?

1. Improve their performance
2. At executing some task
3. Over time with experience
4. All of the above

04. Different learning methods do not include?

1. Memorization
2. Analogy
3. Introduction
4. Deduction

05. Which of the following is a widely used and effective machine learning algorithm based on the idea of bagging?

1. Decision Tree
2. Random Forest
3. Regression
4. Classification

06. High entropy means that the partitions in classification are

1. pure
2. not pure
3. useful
4. useless

07. Which of the following are ML methods?

1. Based on human supervision
2. Supervised Learning
3. Semi-reinforcement Learning
4. All of the above

08. In language understanding, the levels of knowledge do not include?

1. Phonological
2. Syntactic
3. Empirical
4. Logical

09. A machine learning problem involves four attributes plus a class. The attributes have 3, 2, 2, and 2 possible values each. The class has 3 possible values. How many maximum possible different examples are there?

1. 12
2. 24
3. 48
4. 72

10. When performing regression or classification, which of the following is the correct way to preprocess the data?

1. Normalize the data → PCA → training
2. PCA → normalize PCA output → training
3. Normalize the data → PCA → normalize PCA output → training
4. None of the above