Which one of the following is not a major strength of the neural network approach?
A. neural network learning algorithms are guaranteed to converge to an optimal solution
B. neural networks work well with datasets containing noisy data
C. neural networks can be used for both supervised learning and unsupervised clustering
D. neural networks can be used for applications that require a time element to be included in the data
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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