APPLICATION OF SUPERVISED LEARNING
DEEP LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Why is second order differencing in time series needed?
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To remove stationarity
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To find the maxima or minima at the local point
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Both A and B
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None of the above
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Explanation:
Detailed explanation-1: -Why is second order differencing in time series needed? C. If the second-order difference is positive, the time series will curve upward and if it is negative, the time series will curve downward at that time.
Detailed explanation-2: -Which of the following machine learning algorithm is based upon the idea of bagging? Answer-B) Random forest is based on the idea of bagging. 9.
Detailed explanation-3: -15. When performing regression or classification, which of the following is the correct way to preprocess the data? Explanation: You need to always normalize the data first. If not, PCA or other techniques that are used to reduce dimensions will give different results.
There is 1 question to complete.