17CS73 Machine Learning Question With Answers Module 4 MODULE 4 – BAYESIAN LEARNING 1. Define the Bayesian theorem? What is the relevance and features of the Bayesian theorem? Explain the practical difficulties of the Bayesian theorem. 2. Define is Maximum a Posteriori (MAP) Maximum Likelihood (ML) Hypothesis. Derive the relation for hMAP and hML using […]
17CS73 Machine Learning Question With Answers Module 3 MODULE 3 – ARTIFICIAL NEURAL NETWORKS 1. What is Artificial Neural Network? 2. Explain appropriate problem for Neural Network Learning with its characteristics. 3. Explain the concept of a Perceptron with a neat diagram. 4. Explain the single perceptron with its learning algorithm. 5. How a single
17CS73 Machine Learning Question With Answers Module 2 MODULE 2 – DECISION TREE LEARNING 1. What is decision tree and decision tree learning? 2. Explain representation of decision tree with example. 3. What are appropriate problems for Decision tree learning? 4. Explain the concepts of Entropy and Information gain. 5. Describe the ID3 algorithm for
17CS73 Machine Learning Question With Answers Module-1 MODULE 1 – INTRODUCTION AND CONCEPT LEARNING 1. Define Machine Learning. Explain with examples why machine learning is important. 2. Discuss some applications of machine learning with examples. 3. Explain how some disciplines have influenced machine learning. 4. What is well-posed learning problems. 5. Describe the following problems
Candidate Elimination Algorithm in Machine Learning Candidate Elimination Algorithm is used to find the set of consistent hypothesis, that is Version spsce. Click Here for Python Program to Implement Candidate Elimination Algorithm to get Consistent Version Space Video Tutorial of Candidate Elimination Algorithm Solved Example – 3 Algorithm: For each training example d, do: If
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Candidate Elimination Algorithm in Machine Learning Candidate Elimination Algorithm is used to find the set of consistent hypothesis, that is Version spsce. Click Here for Python Program to Implement Candidate Elimination Algorithm to get Consistent Version Space Video Tutorial of Candidate Elimination Algorithm Solved Example – 2 Algorithm: For each training example d, do: If
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Candidate Elimination Algorithm in Machine Learning Candidate Elimination Algorithm is used to find the set of consistent hypothesis, that is Version spsce. Click Here for Python Program to Implement Candidate Elimination Algorithm to get Consistent Version Space Video Tutorial of Candidate Elimination Algorithm Solved Example – 1 Algorithm: For each training example d, do: If
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Consistent Hypothesis, Version Space and List-Then-Eliminate Algorithm An hypothesis h is said to be consistent hypothesis with a set of training examples D iff h(x) = c(x) for each example in D, Video Tutorial on Consistent Hypothesis, Version Space and List-Then-Eliminate Algorithm For Example: Example Citations Size InLibrary Price Editions Buy 1 Some Small No
FIND S Algorithm – Maximally Specific Hypothesis Solved Example FIND S Algorithm is used to find the Maximally Specific Hypothesis. Using the Find-S algorithm gives a single maximally specific hypothesis for the given set of training examples. Click Here for Python Program to Implement FIND S Algorithm – to get Maximally Specific Hypothesis Find-S Algorithm
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FIND-S Algorithm Unanswered Questions in Machine Learning FIND S Algorithm is used to find the Maximally Specific Hypothesis. Using the Find-S algorithm gives a single maximally specific hypothesis for the given set of training examples. Find-S Algorithm Machine Learning 1. Initilize h to the most specific hypothesis in H 2. For each positive training instance
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