Which of the following is a widely used and effective machine learning algorithm based on the idea of bagging?

Machine Learning basics MCQ Quiz (Multiple Choice Questions And Answers)

• ML is a field of AI consisting of learning algorithms that?
• What is true about Machine Learning?
• The action _______ of a robot arm specify to Place block A on block B
• p ? 0q is not a?
• A__________ begins by hypothesizing a sentence (the symbol S) and successively predicting lower level constituents until individual preterminal symbols are written
• Different learning methods does not include?
• A model of language consists of the categories which does not include ________
• Which of the following is a widely used and effective machine learning algorithm based on the idea of bagging?
• Which of the following are ML methods?
• To find the minimum or the maximum of a function, we set the gradient to zero because:
• The model will be trained with data in one single batch is known as ?
• In Model based learning methods, an iterative process takes place on the ML models that are built based on various model parameters, called ?
• Which of the following statements about regularization is not correct?
• How do you handle missing or corrupted data in a dataset?
• When performing regression or classification, which of the following is the correct way to preprocess the data?
• Which of the following is a disadvantage of decision trees?
• Which of the following is a reasonable way to select the number of principal components \"k\"?
• High entropy means that the partitions in classification are
• What is a sentence parser typically used for?
• Which of the following techniques can not be used for normalization in text mining?
• Which of the following is NOT supervised learning?
• Suppose we would like to perform clustering on spatial data such as the geometrical locations of houses. We wish to produce clusters of many different sizes and shapes. Which of the following methods is the most appropriate?
• What is the purpose of performing cross-validation?
• How do you handle missing or corrupted data in a dataset?

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• Machine Learning basics MCQ Quiz (Multiple Choice Questions And Answers)

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