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The most widely used metrics and tools to assess a classification model are: Which of the following is a good test dataset characteristic? This unsupervised clustering algorithm terminates when mean values computed for the current iteration of the algorithm are identical to the computed mean values for the previous iteration. • Please use non-programmable calculators only. 117,792 views. Ankit Gupta, September 4, 2017 . How do you handle missing or corrupted data in a dataset? 42. • Mark your answers ON THE EXAM ITSELF. When doing least-squares regression with regularisation (assuming that the optimisation can be done exactly), increasing the value of the regularisation parameter (Lambda), 47. To find the maxima or minima at the local point. Introduction Decision Trees are one of the most respected algorithm in machine learning and data science. Which of the following is a reasonable way to select the number of principal components "k"? This clustering algorithm merges and splits nodes to help modify nonoptimal partitions. To find the minimum or the maximum of a function, we set the gradient to zero because: The value of the gradient at extrema of a function is always zero - answer. Why is second order differencing in time series needed? Machine learning is a broad field and there are no specific machine learning interview questions that are likely to be asked during a machine learning engineer job interview because the machine learning interview questions asked will focus on the open job position the employer is trying to fill. Machine Learning Interview Questions: General Machine Learning Interest. A general Machine Learning model is built by using the entire training data set. 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