In which of the following cases will K-Means clustering fail to give good results?
1. Data points with outliers
2. Data points with different densities
3. Data points with round shapes
4. Data points with non-convex shapes

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