Which statement is true about neural network and linear regression models?
A. both techniques build models whose output is determined by a linear sum of weighted input attribute values
B. the output of both models is a categorical attribute value
C. both models require numeric attributes to range between 0 and 1
D. both models require input attributes to be numeric
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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