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1. Compare different Ensemble methods with appropriate examples.
2. Discuss the strengths and weaknesses of using K-Means clustering algorithm to cluster multi class data sets. How do you compare it with a hierarchical clustering technique.
What is the chance of success on the first attempt? What is the probability of exactly k collisions and then a success?
Discuss the kind of information you would look for in order to make the forecast and also bring out the significance of demand forecasting.
Consider a computer that you have used or now use. (You may make an assumption on word size if needed.)
Why we need to configure NTP in Internetworks? List few common problems from your experience or from reading materials with solutions
How one can use hash values to log into a system, crack a network, etc. Explain how hash values are used and misused in a system.
Why is choosing the appropriate form of business ownership important for a business you want to start? What short- and long-term benefits are associated.
If we have a tetrahedral data element with densities at each of the four vertices, how many "cases" are there for polygonal isosurfaces?
Consider an array that represents a heap. Suppose that you replace the value at index i with a new value. It is likely that you will no longer have a heap. Write an algorithm that will give you a heap again.
Next, provide an appropriate main function (driver code) to test this class. Create an object with a radius of 10. Make a second Cylinder object
Write a function that computes the area of a triangle given the length of its three sides as parameters (see Programming Exercise 9 from Chapter 3). Use your function to augment triangle2.py so that it also displays the area of the triangle.
Write a program that finds in a binary tree of numbers the sum of the vertices of each level of the tree.
Describe a classification of programming languages and explain which type of programming language(s) you find most effective and why.
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