AI Machine Learning Interview Questions
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What is calibration in machine learning?

60

Explain the Algorithm Technique of Supervised Learning in Machine Learning?

52

Explain the Algorithm Technique of Unsupervised Learning in Machine Learning?

49

Explain the Algorithm Technique of Semi-supervised Learning in Machine Learning?

61

Explain the Algorithm Technique of Reinforcement Learning in Machine Learning?

57

Explain the Algorithm Technique of Transduction in Machine Learning?

61

Explain the Algorithm Technique of Learning to Learn in Machine Learning?

61

What is the Model Building in Machine Learning?

80

What is the Model testing in Machine Learning?

179

What is the Applying the model in Machine Learning?

54

Explain the Genetic Programming in Machine Learning?

37

Explain the Inductive Learning in Machine Learning?

54

What is sequence classification?

53

What is sequence model?

64

What is keras sequential model?

312


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Un-Answered Questions { AI Machine Learning }

Explain the function of Supervised Learning?

52


What is the difference between bayesian and frequentist?

75


How is ML different from artificial intelligence?

74


What is adagrad algorithm in machine learning?

84


What is the use of gradient descent?

64






What are the different types of Machine Learning?

77


Differentiate supervised and unsupervised machine learning.

190


What are convolutional networks? Where can we use them?

54


What are the areas in robotics and information processing where sequential prediction problem arises?

52


What is data normalization in ml?

68


What is the difference between supervised and unsupervised machine learning?

70


What is the difference between heuristic for rule learning and heuristics for decision trees?

49


Explain the importance of bayes theorem?

59


What is Time Series Analysis/ Forecasting?

58


An example where ensemble techniques might be useful?

84