Machine Learning MCQs with answers Page - 8

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📊 Machine Learning
Q. What are the different Algorithm techniques in Machine Learning?
  • (A) supervised learning and semi-supervised learning
  • (B) unsupervised learning and transduction
  • (C) both A & B
  • (D) none of the mentioned
💬 Discuss
✅ Correct Answer: (A) supervised learning and semi-supervised learning

Explanation: What are the different algorithm techniques in Machine Learning?

📊 Machine Learning
Q. Which of the following is not Machine Learning?
  • (A) artificial intelligence
  • (B) rule based inference
  • (C) both a and b
  • (D) none of the mentioned
💬 Discuss
✅ Correct Answer: (B) rule based inference

Explanation: Which of the following is not Machine Learning?

📊 Machine Learning
Q. What is 'Overfitting' in Machine learning?
  • (A) when a statistical model describes random error or noise instead of
  • (B) robots are programed so that they can perform the task based on data they gather from
  • (C) while involving the process of learning 'overfitting' occurs.
  • (D) a set of data is used to discover the potentially predictive relationship
💬 Discuss
✅ Correct Answer: (A) when a statistical model describes random error or noise instead of

Explanation: What is 'Overfitting' in Machine Learning?

📊 Machine Learning
Q. If machine learning model output doesnot involves target variable then that model is called as
  • (A) descriptive model
  • (B) predictive model
  • (C) reinforcement learning
  • (D) all of the above
💬 Discuss
✅ Correct Answer: (A) descriptive model

Explanation: If a machine learning model's output does not involve the target variable, then that model is called:

📊 Machine Learning
Q. Which are two techniques of Machine Learning ?
  • (A) Genetic Programming and Inductive Learning
  • (B) Speech recognition and Regression
  • (C) Both A and B
  • (D) None of the Mentioned
💬 Discuss
✅ Correct Answer: (A) Genetic Programming and Inductive Learning

Explanation: Which are two techniques of Machine Learning?

📊 Machine Learning
Q. What is/are true about ridge regression?
1. When lambda is 0, model works like linear regression model
2. When lambda is 0, model doesn't work like linear regression model
3. When lambda goes to infinity, we get very, very small coefficients approaching
04. When lambda goes to infinity, we get very, very large coefficients approaching infinity.
  • (A) 1 and 3
  • (B) 1 and 4
  • (C) 2 and 3
  • (D) 2 and 4
💬 Discuss
✅ Correct Answer: (A) 1 and 3
📊 Machine Learning
Q. In what type of learning labelled training data is used
  • (A) unsupervised learning
  • (B) supervised learning
  • (C) reinforcement learning
  • (D) active learning
💬 Discuss
✅ Correct Answer: (B) supervised learning
📊 Machine Learning
Q. Based on survey, it was found that the probability that person like to watch serials is 0.25 and the probability that person like to watch netflix series is 0.43. Also the probability that person like to watch serials and netflix sereis is 0.12. what is the probability that a person doesn't like to watch either?
  • (A) 0.32
  • (B) 0.2
  • (C) 0.44
  • (D) 0.56
💬 Discuss
✅ Correct Answer: (C) 0.44
📊 Machine Learning
Q. Which learning Requires Self Assessment to identify patterns within data?
  • (A) unsupervised learning
  • (B) supervised learning
  • (C) semisupervised learning
  • (D) reinforced learning
💬 Discuss
✅ Correct Answer: (A) unsupervised learning
📊 Machine Learning
Q. The linear SVM classifier works by drawing a straight line between two classes
  • (A) TRUE
  • (B) 2 and 3
  • (C) ---
  • (D) ---
💬 Discuss
✅ Correct Answer: (A) TRUE

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