Total
Questions = 52 of Total 80 Marks
Total MCQ = 40 Each of 1 marks
Total Short Questions = 4 Each of 2 marks
Total Short Questions = 4 Each of 3 marks
Total Long Questions = 4 Each of 5 marks
Q1: difference between ambiguous and unambiguous problems? 2
Q2: how can u elaborate the need of validation during training ?? 2
Q3: which term is best suited for a situation in which we give a set of example of input/output pairs to find out a rule that does good job of predicting the out associated with a new input ? 2
Q4: which term is best suited for a situation in which we try to find out a relationship between input and output of a function (concept) ? 2
Q5:which term is best suited for a person who has specialized knowledge, skill and experience in specific area? give an example form daily life ? 3
Q6:which term is best suited for a situation in which data problem can not be separated into their respective classes by using a simple line? give an example 3
Q6:write name of some emergent fields in which machine learning algorithms are being used ? 3
Q7: write down the task/application for which "connectionist" approach is well suited? 5
Q8:how can u elaborate the functioning of unsupervised methodology in neural network? 5
Q9: do you think machine learning helps human being? justified ur answer with solid reasons ? 5
Q10: out of different design phase of ANN which design phase is best suited for a situation in which training data is divided in to k sets , k-1 sets are used for training and remaining data set is used to ensure better result and to avoid over fitting ? 5
Total MCQ = 40 Each of 1 marks
Total Short Questions = 4 Each of 2 marks
Total Short Questions = 4 Each of 3 marks
Total Long Questions = 4 Each of 5 marks
Q1: difference between ambiguous and unambiguous problems? 2
Q2: how can u elaborate the need of validation during training ?? 2
Q3: which term is best suited for a situation in which we give a set of example of input/output pairs to find out a rule that does good job of predicting the out associated with a new input ? 2
Q4: which term is best suited for a situation in which we try to find out a relationship between input and output of a function (concept) ? 2
Q5:which term is best suited for a person who has specialized knowledge, skill and experience in specific area? give an example form daily life ? 3
Q6:which term is best suited for a situation in which data problem can not be separated into their respective classes by using a simple line? give an example 3
Q6:write name of some emergent fields in which machine learning algorithms are being used ? 3
Q7: write down the task/application for which "connectionist" approach is well suited? 5
Q8:how can u elaborate the functioning of unsupervised methodology in neural network? 5
Q9: do you think machine learning helps human being? justified ur answer with solid reasons ? 5
Q10: out of different design phase of ANN which design phase is best suited for a situation in which training data is divided in to k sets , k-1 sets are used for training and remaining data set is used to ensure better result and to avoid over fitting ? 5
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