Unit II Important Questions for Data Structure 2-Marks Important Question Q1: What are the applications of stack ?Q2: Mention the limitations of stack using array ?Q3: What are the notations used in evaluation of arithmetic expressions using prefix and postfix forms ?Q4: If tower of hanoi is operated on n = 10 disks, calcualte the […]
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Unit 1 – Long answer type Important Question of data structure Q1: Describe data structure. Describe about its need and types. Why do we need a data Type? Q2: Discuss some basic terminology used and elementary data organization in data structure. Q3: Define data types and what are the built-in data types in
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Unit 1 Most Frequently Asked Questions of Data Structure Q1: What is Sparse matrix? Explain the application of sparse matrix. Q2: How can you represent a sparse matrix in memory? Q3: Define complexity. Q4: What is space and time complexity of an algorithm? OR Define complexity. What is space and time complexity of
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Unit 1 2 Marks Important Questions of Data Structure Important Question This blog cover 2 Marks Important Questions of Data Structure from Unit 1 for more you read over blog from the link provided below at the end of this blog that cover all the data structures important questions alone with the program related to
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Top 99+ Most Important Question with Solution of Data Structure In computer science, a data structure is a particular way of storing and organizing data in a computer’s memory so that it can be used efficiently. Data may organized in many different ways, the logical or mathematical model of a particular organization of data is
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MACHINE LEARNING Find S Algorithm with Example Click here to Read More Candidate Elimination Algorithm with Example Click here to Read More 100 MCQ question on Machine learningClick here to Read more
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Candidate Elimination Algorithm Introduction to Candidate Elimination Algorithm Candidate elimination algorithm overcomes the problem that is imposed by the Find-S algorithm. Find-S algorithm only considers positive training examples while Candidate elimination algorithm considers positive and negative both training examples. The candidate-Elimination algorithm computes the version space containing all (and only those) hypotheses from H that
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