Hello Learners, In this Post, you will find NPTEL Data Mining Assignment 6 Week 6 Answers 2023. All the Answers are provided below to help the students as a reference don鈥檛 straight away look for the solutions.NPTEL Data Mining Assignment 6 Answers Join Group馃憞 CLICK HERENote: First try to solve the questions by yourself. If you find any difficulty, then look for the solutions.COURSE NAMEANSWERNPTEL Data Mining Assignment 1 AnswersClick HereNPTEL Data Mining Assignment 2 AnswersClick HereNPTEL Data Mining Assignment 3 AnswersClick HereNPTEL Data Mining Assignment 4 AnswersClick HereNPTEL Data Mining Assignment 5 AnswersClick HereNPTEL Data Mining Assignment 6 AnswersClick HereNPTEL Data Mining Assignment 7 AnswersClick HereNPTEL Data Mining Assignment 8 AnswersClick HereNPTEL Data Mining Assignment 6 Answers 2023NPTEL Data Mining Assignment 6 Answers 2023:We are updating answers soon Join Group for update: CLICK HEREQ.1. Sufficient Number of output nodes required in an ANN used for two-class classification problem is:a. Random numberb. Same as number of input nodesc. 1 d. 2Q.2. How are the weights and biases initialized in an ANN in general?a. Can be initialized randomly b. Always initialized to zeroc. Always initialized to infinityd. Always initialized as 1Q.3. In which of the below neural network, the links may connect nodes within the same layer or nodes from one layer to the previous layers?a. Perceptronb. Feed-forward neural networkc. Recurrent neural network d. Both B, CNPTEL Data Mining Assignment 7 Answers Join Group馃憞 Q.4. Neural Networks are complex ______________ with many parameters.a. Linear Functions b. Nonlinear Functionsc. Discrete Functionsd. Exponential FunctionsQ.5. Artificial neural network used for:a. Pattern Recognitionb. Classification c. Clusteringd. All of the aboveQ.6. A neuron with 3 inputs has the weight vector [0.2 -0.1 0.1]^T and a bias 胃 = 0. If the input vector is X = [0.2 0.4 0.2]^T then the total input to the neuron is:a. 0.2b. 0.02 c. 0.4d. 0.10NPTEL Data Mining Week 6 Answers Join Group馃憞 CLICK HEREQ.7. A neural Network given below takes two binary inputs X1, X2 系 {0,1} and the activation function for each neuron is the binary threshold function (g(a)= 1 if a >0; 0 otherwise). Which of the following logical functions does it compute?a. ANDb. NANDc. XORd. NORQ.8. The neural network given bellow takes two binary valued inputs x1, x2 系 {0,1}, the activation function for each neuron is the binary threshold function (g(a)= 1 if a >0; 0 otherwise). Which of the following logical functions does it compute?a. ANDb. NANDc. XOR d. NORQ.9. The neural network given bellow takes two binary valued inputs x1, x2 系 {0,1} and the activation function is the binary threshold function (h(z)=1 if z>0;0 otherwise). Which of the following logical functions does it compute?a. ANDb. NAND c. XORd. NORQ.10. Under which of the following situation would you expect overfitting to happen?a. With training iterations error on training set as well as test set decreasesb. With training iterations error on training set decreases but test set increases c. With training iterations error on training set as well as test set increasesd. With training iterations training set as well as test set error remains constantNPTEL Data Mining Assignment 6 Answers Join Group馃憞 Disclaimer: This answer is provided by us only for discussion purpose if any answer will be getting wrong don’t blame us. If any doubt or suggestions regarding any question kindly comment. The solution is provided by Brokenprogrammers. This tutorial is only for Discussion and Learning purpose.About NPTEL Data Mining Course:Data mining is study of algorithms for finding patterns in large data sets. It is an integral part of modern industry, where data from its operations and customers are mined for gaining business insight. It is also important in modern scientific endeavors. Data mining is an interdisciplinary topic involving, databases, machine learning and algorithms. The course will cover the fundamentals of data mining. It will explain the basic algorithms like data preprocessing, association rules, classification, clustering, sequence mining and visualization. It will also explain implementations in open source software. Finally, case studies on industrial problems will be demonstrated.Course Layout:Week 1: Introduction, Data Preprocessing Week 2: Association Rule Mining, Classification BasicsWeek 3: Decision Tree, Bayes Classifier, K nearest neighbor Week 4:Support Vector Machine, Kernel Machine Week 5: Clustering, Outlier detection Week 6: Sequence mining Week 7: Evaluation, Visualization. Week 8: Case studies CRITERIA TO GET A CERTIFICATE:Average assignment score = 25% of average of best 8 assignments out of the total 12 assignments given in the course.Exam score = 75% of the proctored certification exam score out of 100Final score = Average assignment score + Exam scoreYOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.If you have not registered for exam kindly register Through https://examform.nptel.ac.in/ Post navigationNPTEL Programming in Java Assignment 6 Answers 2023 NPTEL Data Science for Engineers Assignment 6 Answers 2023