The "curse of dimensionality" referes
A. all the problems that arise when working with data in the higher dimensions, that did not exist in the lower dimensions.
B. all the problems that arise when working with data in the lower dimensions, that did not exist in the higher dimensions.
C. all the problems that arise when working with data in the lower dimensions, that did not exist in the lower dimensions.
D. all the problems that arise when working with data in the higher dimensions, that did not exist in the higher dimensions.
Answer: Option A
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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