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*Top
5 Machine Learning Quiz Questions with Answers explanation, Interview
questions on machine learning, quiz questions for data scientist answers
explained, machine learning exam questions, machine learning question bank*

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__Machine
learning MCQ with Answers__

__Machine learning MCQ with Answers__

*Multiple Choice Questions in Machine Learning Set 01**Keywords: clustering, classification, naive bayes*

*Multiple Choice Questions in Machine Learning Set 02**Keywords: clustering applications, Bayes network, MLE and MAP*

*Multiple Choice Questions in Machine Learning Set 03**Keywords: linear regression, MLE, Bayes*

*Multiple Choice Questions in Machine Learning Set 04**Keywords: SVM, EM algorithm, Variance, Bias, Conditional probability*

*Multiple Choice Questions in Machine Learning Set 05**Keywords: clustering, classification, regression, Bayesian network*

*Multiple Choice Questions in Machine Learning Set 06**Keywords: neural network, overfitting, underfitting, decision tree, probability*

*Multiple Choice Questions in Machine Learning Set 07**Keywords: SVM, Bayesian net, K-means, polynomial regression*

*Multiple Choice Questions in Machine Learning Set 08**Keywords: Gaussian Bayes, decision tree, nearest neighbor, feature selection*

*Multiple Choice Questions in Machine Learning Set 09**Keywords: neural network, Bayesian net, kernel regression, decision tree*

*Multiple Choice Questions in Machine Learning Set 10**Keywords: neural network, PCA, SVD, Bias, Variance, learning problem*

*Multiple Choice Questions in Machine Learning Set 11**Keywords: Gradient descent, neural net, probability, naive bayes*

*Multiple Choice Questions in Machine Learning Set 12**Keywords: Smoothing, probability*

*Multiple Choice Questions in Machine Learning Set 13**Keywords: SVM, overfitting, decision tree, perceptron*

*Multiple Choice Questions in Machine Learning Set 14**Keywords: SVM, logistic regression, gradient descent, linear kernel, neural network*

*Multiple Choice Questions in Machine Learning Set 15**Keywords: SVM, logistic regression, decision tree*

*Multiple Choice Questions in Machine Learning Set 16**Keywords: decision tree, k-nearest neighbor, bias, variance*

*Multiple Choice Questions in Machine Learning Set 17**Keywords: classification, entropy, goodness of fit, estimated regression equation, multiple regression model*

*Multiple Choice Questions in Machine Learning Set 18**Keywords: hamming distance, confidence interval, margin of error, expected value of random variable*

*Multiple Choice Questions in Machine Learning Set 19**Keywords: k-fold, leave-one-out, holdout cross validation, unsupervised learning*

*Multiple Choice Questions in Machine Learning Set 20**Keywords: k-means, elbow method, entropy calculation, unsupervised learning, decision tree*

*Multiple Choice Questions in Machine Learning Set 21**Keywords: Discriminative classification, variance, test error, soft margin SVM*

*Mulitple Choice Questions in Machine Learning Set 22**Keywords: two class classification, bayesian net, classification*

*Multiple Choice Questions with answers in Machine Learning Set 23**Keywords: Ridge and lasso regression, ridge vs lasso*

*Multiple choice quiz questions and answers in machine learning - set 24**Keywords: Ridge and lasso regression, statistics and hypotheses, parameters*

*Multiple choice quiz questions and answers in machine learning - set 25**Keywords: Regularized regression, overfitting, disadvantage of non-parameteric models*

*Multiple choice quiz questions and answers in machine learning - set 26**Keywords: Regularized regression, lasso, overfitting, decision tree*

*Multiple choice quiz questions and answers in machine learning - set 27**Keywords: Regularized regression, lasso, overfitting, underfitting, lambda vs bias and variance*

*Keywords: overfitting, SVM classifier, generative model, slack variable*

*Multiple choice quiz questions and answers in machine learning - set 29**Keywords: lazy learner, k-NN, eager learner, classification algorithms*

*Keywords: supervised learning, k-NN, lazy learning, instance-based learning, classification algorithm*

*Keywords: supervised learning, k-NN, decision tree, linear regression*

*Keywords: decision tree, regularized linear regression, hierarchical clustering*

*Keywords: ensemble machine learning methods, AdaBoost, random forest, bootstrapping*

*Keywords: ensemble machine learning methods, sampling error in statistics, decision tree overfitting avoidance*

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