How can we assign the weights to output of different models in an ensemble?
1. Use an algorithm to return the optimal weights
2. Choose the weights using cross validation
3. Give high weights to more accurate models

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