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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

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
    

•  Multiple choice quiz questions and answers in machine learning - set 28

• 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
    

•  Multiple choice quiz questions and answers in machine learning - set 30

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

•  Multiple choice quiz questions and answers in machine learning - set 31

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

• Multiple choice quiz questions and answers in machine learning - set 32

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

• Multiple choice quiz questions and answers in machine learning - set 33

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

• Multiple choice quiz questions and answers in machine learning - set 34

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

 

• Multiple choice quiz questions and answers in machine learning - set 35

• Keywords: linear regression concepts

 Multiple choice quiz questions and answers in machine learning - set 36

• Keywords: linear regression technical mcq

 Multiple choice quiz questions and answers in machine learning - set 37

• Keywords: linear regression using python

 Multiple choice quiz questions and answers in machine learning - set 38

• Keywords: decision tree and entropy basics

• Multiple choice quiz questions and answers in machine learning - set 39

• Keywords: decision tree advanced, splitting, overfitting, pruning

• Multiple choice quiz questions and answers in machine learning - set 40

• Keywords: decision tree - continuous attributes, gain ration, tie-breaking, multi-class problems, entropy

• Multiple choice quiz questions and answers in machine learning - set 41

• Keywords: machine learning training phase - gradient descent, optimization, convergence

• Multiple choice quiz questions and answers in machine learning - set 42

• Keywords: machine learning - testing phase - purpose, validation set, imbalanced test data, model evaluation, cross-validation

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