VITyarthi Fundamentals of AI and ML Module 3 Quiz Answer

Question 1

______________play a crucial role in convexity?

  1. Convex sets
  2. Optimization
  3. Convex function
  4. All the above
  1. Convex sets

Question 2

Convex restrictions are placed on the convex function to be optimized is called as?

  1. Unconstrained convex optimization
  2. Constrained convex optimization
  3. Concex function
  4. convexity

2. Constrained convex optimization

Question 3

According to Axiomatic probability, P(E) ≤ 0?

  1. TRUE
  2. FALSE

2. FALSE

Question 4

_____________ variable is one whose cumulative distribution function is constant across time, according to formal definitions?

  1. Digital random
  2. Discrete random
  3. Continuous random

3. Continuous random

Question 5

____________ represents the behavior of most of the situations in the universe?

  1. Uniform Distribution
  2. Normal Distribution
  3. Exponential Distribution
  4. Chi-square Distribution

2. Normal Distribution

Question 6

Which of the following is not an example for Poisson distribution??

  1. The number of suicides reported in a particular city
  2.  
  3. The number of customers arriving at a salon in an hour
  4. The weight or height of animals

4. The weight or height of animals

Question 7

__________defines the probability of one event occurring given that another event has occurred by assumption, presumption, assertion or evidence?

  1. Joint Probability
  2. Conditional Probability
  3. Marginal Probability
  4. All the above

2. Conditional Probability

Question 8

In _______________, features are learned using labeled input data.?

  1. Supervised learning
  2. Unsupervised learning
  3. Semi-supervised learning
  4. Reinforcement learning
  1. Supervised learning

Question 9

A __________ is the specific group that you will collect data from?

  1. Population
  2. Mean
  3. Median
  4. Sample

4. Sample

Question 10

Data representation combines psychological research on human problem-solving with knowledge representation?

  1. TRUE
  2. FALSE
  1. TRUE

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