Write a C program to read a floating-point number from the standard input and print the rightmost digit of an integral part and the left-most digit of the real part. Problem Definition: In this program, we will read a floating-point number from the keyboard. Next, we find the rightmost digit of an integral part and […]
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Write a C program to read the diameter of the circle and compute the perimeter and area of the circle. Problem Definition: In this program, we will read the diameter of a circle. Next, we find the area and perimeter of a circle. Source code of C program to read diameter and compute Area Perimeter
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Write a C program to read length and width from the input and compute the perimeter and area of the rectangle. Problem Definition: In this program, we will read the length and breadth of the rectangle. Next, we find the area and perimeter of a rectangle. Source code of C program to read length width
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17CS73 Machine Learning Question With Answers Module 5 MODULE 5 – EVALUATING HYPOTHESIS, INSTANCE BASED LEARNING, REINFORCEMENT LEARNING 1. Explain the two key difficulties that arise while estimating the Accuracy of Hypothesis. 2. Define the following terms a. Sample error b. True error c. Random Variable d. Expected value e. Variance f. standard Deviation 3.
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
Python Program to accept numbers and Find the maximum and minimum element of the numbers entered by the user Problem Definition: Write a Python Program to accept numbers from the user until the user enters done. Find the maximum and minimum elements of the numbers entered by the user. Use class and methods concepts. Program
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Python Program using classes and objects to deposit and withdraw money in a Bank Account Problem Definition: Write a Python program using classes and objects to deposit and withdraw money in a Bank_Account. This is just a demonstration program. Video Tutorial Source code of Python Program using classes and objects to deposit and withdraw money
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