A. can be applied to every classification algorithm
B. is commonly used for dimensionality reduction
C. changes ridge regression so we solve a d × d linear system instead of an n × n system, given n sample points with d features
D. exploits the fact that in many learning algorithms, the weights can be written as a linear combination of input points
Answer: Option D
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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