How does the bias-variance decomposition of a ridge regression estimator compare with that of ordinary least squares regression?
A. ridge has larger bias, larger variance
B. ridge has smaller bias, larger variance
C. ridge has larger bias, smaller variance
D. ridge has smaller bias, smaller variance
Answer: Option C
This Question Belongs to Computer Science >> Machine Learning
In simple term, machine learning is
A. training based on historical data
B. prediction to answer a query
C. both A and B
D. automization of complex tasks
Which of the following is the best machine learning method?
A. scalable
B. accuracy
C. fast
D. all of the above
The output of training process in machine learning is
A. machine learning model
B. machine learning algorithm
C. null
D. accuracy
Application of machine learning methods to large databases is called
A. data mining.
B. artificial intelligence
C. big data computing
D. internet of things
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